Data Science Jobs

Two95 International Inc.HQI 77

Title: Data Science AI/ML Lead Location: Bangalore/remote Type: Full-time Salary: 40-50LPA Notice Period: Candidates who can join within 30 days preferred Requirements What You'll Do ✅ Lead the architecture, development, and deployment of enterprise-scale AI/ML solutions ✅ Build AI Agents, intelligent automation workflows, and LLM integrations ✅ Drive MLOps, CI/CD, and ML infrastructure best practices ✅ Design and optimize scalable AWS-based data pipelines and analytics platforms ✅ Develop production-grade APIs and model-serving solutions ✅ Integrate enterprise systems such as SAP and Salesforce ✅ Mentor engineering teams and provide technical leadership Required Skills Expert Python Programming PyTorch, TensorFlow, Scikit-Learn AI Agents, LLMs & MCP Server Integration AWS Services (Glue, Lambda, Athena, S3, Step Functions, SNS, SES, IAM) Docker, CI/CD, MLOps REST API Design & Production ML Deployments Benefits If Interested please send your updated resume to: rehana.j@two95intl.com and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest.

ContinentalHQI 67

Deine Aufgaben Technische und wirtschaftliche Vorgänge in Unternehmen begeistern dich? Du hast Spaß an Mathematik und Programmierprojekten? Ob beim Streamen, Chatten, Reisen, Einkaufen oder in der Industrie - mathematische Fähigkeiten sind in vielen Bereichen gefragt, auch bei uns!  Starte jetzt deine Karriere im Bereich angewandte Mathematik & Data Science mit Schwerpunkt Technomathematik. In der Vertiefung Technomathematik lernst du, wie Mathematik in der Simulation technischer Systeme, der Bildverarbeitung und der Finite-Element-Methode eingesetzt wird. Du kannst dich in Bereichen wie Elektrotechnik oder Maschinenbau spezialisieren und hast beste Chancen für den Einstieg in die Industrie. Ab dem 01.09.2027 startest du dein duales Studium für sieben Semester an der Hochschule Hannover und sammelst gleichzeitig wertvolle Praxiserfahrung bei uns am Standort in Hannover. So verbindest du mathematisches Know-how mit spannenden Einblicken in unseren Unternehmensalltag, von operativen Aufgaben bis hin zu strategischen Projekten. Der perfekte Mix für deinen Karrierestart!    Dein Profil Du bist startbereit mit: -    einer Hochschulzugangsberechtigung (Fachhochschulreife oder Abitur)  -    Spaß an Mathematik -    Begeisterung für Technik & Wirtschaft -    Die Bereitschaft zum Programmieren -    Motivation, dich weiterzuentwickeln und zu lernen Damit wir deine Bewerbung bearbeiten können, sende uns bitte die folgenden Unterlagen mit deiner Bewerbung: - Lebenslauf  - die letzten drei Schulzeugnisse Die Bewerbungen von schwerbehinderten Menschen sind willkommen.   Attraktive Vergütung von Anfang an:  Tarifvergütung zzgl. tariflicher Jahresleistung- und Urlaubsgeld (Einstiegsvergütung: ab 1.275 € brutto im 1. Ausbildungsjahr).  Starker Start ins Berufsleben:  Umfangreiche Einarbeitung und persönliche Betreuung durch motivierte und erfahrene Kolleginnen und Kollegen, sowie eine Einführungswoche zu Beginn deines dualen Studiums.  Zukunftsperspektive inklusive:  Angestrebte Übernahme nach dem dualen Studium.  Lernen mit Rückenwind:  Wir bieten Dir verschiedene Schulungen und Seminare an, wie bspw. Prüfungsvorbereitung und individuelle Unterstützungsangebote.   Smart sparen:  Profitiere von attraktiven Rabatten, Sonderkonditionen und einem breiten Spektrum an Mitarbeiter-Vorteilen z.B. Corporate Benefits.  Fit bleiben – deutschlandweit: Mit unserem breiten Angebot an gesundheitsfördernden Maßnahmen bleibst Du aktiv – egal, wo Du gerade bist.  Unterstützung, wenn es darauf ankommt: Mit dem Fürstenberg Institut steht Dir ein vertraulicher externer Ansprechpartner zur Seite – für professionelle Beratung und Unterstützung bei privaten und beruflichen Herausforderungen.  Schon jetzt an später denken:  Beratung und Zuschuss zur betrieblichen Altersvorsorge.  Kompetenzen erweitern je nach Position:  Wir fördern die berufliche Entwicklung durch maßgeschneiderte Weiterbildungsangebote und vielfältige Aufstiegsmöglichkeiten nach deinem dualen Studium.    Weitere Informationen zu den Mitarbeiter-Benefits, die Dich langfristig bei Continental erwarten, findest Du  hier . Wenn Du mehr über unseren Standort erfahren willst, besuch gerne unsere Standortseiten: Continental / Hannover Stöcken  und  Hannover Unternehmenszentrale   Vielfalt, Inklusion und Zugehörigkeit sind uns wichtig und machen uns als Unternehmen stark und erfolgreich. Wir bieten allen Chancengleichheit – unabhängig von Alter, Geschlecht, Nationalität, kultureller Herkunft, Behinderung, Religion, Weltanschauung oder sexueller Orientierung.  Wenn dies perfekt zu Dir passt und Du Dich mit unseren Grundwerten (Vertrauen, Verbundenheit, Freiheit und Gewinnermentalität) identifizierst, freuen wir uns auf Deine Bewerbung.  Du willst mit uns Gas geben? Starte durch und bewirb dich jetzt!

National Institutes of HealthHQI 83

In order to qualify for an IT Specialist (Data Science), GS-2210 position you must have: IT related experience demonstrated by paid or unpaid experience obtained in either the private or public sector, and/or completion of specific, intensive training that demonstrates all of the following four competencies: 1. Attention to Detail - is thorough when performing work and conscientious about attending to detail; and 2. Customer Service - Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; knows about available products and services; is committed to providing quality products and services; and 3. Oral Communication - Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately; and 4. Problem Solving - identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations In order to qualify for an IT Specialist (Data Science),GS-2210 position at the GS-12 level, you must have 1 year of specialized experience equivalent to at least the GS-11 level in the Federal service obtained in either the private or public sector typically gained in the IT field or through performing IT related tasks such as: collecting and generating data, including assisting with the design or use of surveys or other scientific instruments to collect data; curating and processing data, including performing quality checks on data sets and other information sources to identify and address data issues; preparing or supporting the dissemination of data; identifying and resolving routine data performance and management issues; storing and managing high-quality data from diverse sources for use by decision makers; and analyzing comprehensive data sets using statistical software or programming languages (e.g., R, Python) to meet established business or program requirements. In order to qualify for an IT Specialist (Data Science),GS-2210 position at the GS-13 level, you must have 1 year of specialized experience equivalent to at least the GS-12 level in the Federal service obtained in either the private or public sector typically gained in the IT field or through performing IT related tasks such as: collecting, generating, curating, and processing data from diverse sources; designing surveys or other scientific instruments for data collection; evaluating data quality and resolving complex data performance or management issues; managing, integrating, and disseminating high-quality data to support organizational or stakeholder decision-making; and analyzing large, multidimensional, or complex data sets using statistical software or programming languages (e.g., R, Python) to derive findings and support business or program decision-making. You will receive credit for all experience material to the position, including experience gained in religious, civic, welfare, service, and organizational activities, regardless of whether you received pay. Do not copy and paste the duties or specialized experience from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position. We may verify or assess your qualifications at any time. Inflated or unsupported qualifications may affect your rating. Any misrepresentation or material omission of facts may be sufficient cause to end further consideration of your candidacy. Persons listed as knowing your past accomplishments or experience in your application may be contacted for verification purposes at any time. Verification may, but need not, begin before receiving an offer. Preview application questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/13062893 As an IT Specialist (Data Science), your duties will include: Develop and implement IT data science solutions for collecting, processing, storing, managing, and integrating complex data from diverse sources to support organizational and research requirements. Analyze large and complex data sets using statistical software, programming languages, and analytical methods to identify trends, evaluate information, and support data-driven decision-making. Develop and maintain data visualizations, dashboards, reporting tools, and other applications that enable users to explore, analyze, interpret, and communicate data. Evaluate and apply artificial intelligence, machine learning, and other emerging technologies to improve data management, analysis, automation, and IT solutions. Evaluate data management tools, applications, databases, cloud-based services, and other technologies to improve data integration, interoperability, quality, accessibility, and performance. Collaborate with scientists, researchers, IT specialists, data scientists and data driven professionals, and other stakeholders to identify requirements, address technical issues, and develop data and technology solutions that support research and organizational goals. Provide technical guidance and recommendations on data architecture, data governance, data science methods, analytical tools, and emerging technologies, and contribute to the development of data standards, strategies, and best practices.

THALESHQI 74

Description du poste : Lieu : Toulon, France Construisons ensemble un avenir de confiance Thales est un leader mondial des hautes technologies spécialisé dans trois secteurs d'activité : Défense & Sécurité, Aéronautique & Spatial, et Cyber & Digital. Il développe des produits et solutions qui contribuent à un monde plus sûr, plus respectueux de l'environnement et plus inclusif. Le Groupe investit près de 4,5 milliards d'euros par an en Recherche & Développement, notamment dans des domaines clés de l'innovation tels que l'IA, la cybersécurité, le quantique, les technologies du cloud et la 6G. Thales compte près de 85 000 collaborateurs dans 65 pays. Nos engagements, vos avantages***Une réussite portée par notre excellence technologique, votre expérience et notre ambition partagée***Un package de rémunération attractif***Un développement des compétences en continu : parcours de formation, académies et communautés internes***Un environnement inclusif, bienveillant et respectant l'équilibre des collaborateurs***Un engagement sociétal et environnemental reconnu Votre quotidien Nos équipes de l'activité Systèmes d'information critiques et cybersécurité fournissent des services et des solutions globales optimisant la performance, la résilience et la sécurité des systèmes d'information afin de faire face aux ruptures technologiques et aux cybermenaces. QUI SOMMES-NOUS ? Rejoindre Thales, c'est intégrer un leader mondial des hautes technologies spécialisé dans les secteurs de la défense, de l'aérospatial, de la cybersécurité, du numérique et du transport. Fort de plus de 80 000 collaborateurs dans plus d'une cinquantaine de pays, le Groupe bénéficie d'une implantation internationale qui lui permet d'agir au plus près de ses clients. Il s'appuie sur l'expertise de ses collaborateurs pour concevoir des solutions et systèmes critiques, contribuant à un monde plus sûr, plus respectueux de l'environnement et plus inclusif. Thales est un acteur de premier plan dans la recherche, le développement et l'intégration de solutions d'IA spécialisées et poursuit son engagement stratégique à s'imposer comme le partenaire de référence en matière d'IA dans l'industrie sur le long terme. Dans cette dynamique, Thales renforce son ingénierie en IA appliquée aux systèmes navals de défense avec le développement d'une présence accrue à Toulon , au plus près de la Marine Nationale et d'autres acteurs majeurs de la défense navale. Nos équipes de l'activité Systèmes d'information critiques et cyber sécurité conçoivent et déploient des services et des solutions globales optimisant la performance, la résilience et la sécurité des systèmes d'information afin de faire face aux ruptures technologiques et aux cybermenaces. Vous souhaitez mettre votre expertise en intelligence artificielle au service de la défense nationale et évoluer dans un environnement d'excellence technologique ? Rejoignez-nous en tant que Data Scientist / Ingénieur(e) IA expérimenté(e) pour contribuer au développement de solutions numériques innovantes intégrant des briques avancées d'intelligence artificielle. LE POSTE Dans le cadre de notre développement, nous recherchons un(e Data Scientist / Ingénieur(e) IA expérimenté(e) (H/F) Basé(e) à Toulon Vous intégrerez une équipe intervenant sur plusieurs projets d'intelligence artificielle à fort enjeu Le développement de solutions IA pour des systèmes critiques dans le domaine de la défense , en particulier autour du maintien en condition opérationnelle (MCO) naval L'accompagnement d'entités du Groupe et de partenaires externes, dans les secteurs défense et civil , dans leur transformation numérique par l'IA, notamment à travers des solutions d'assistance au développement et au test logiciel La contribution aux projets d'innovation du groupe en IA depuis Toulon, en lien avec les centres d'excellence en R&D du Groupe et ses partenaires académiques en France et à l'international. Ces projets se distinguent par leur forte complexité technique , leur exigence industrielle et l'utilisation de technologies innovantes dans des environnements sécurisés, normés et contraints. CE QUE NOUS POUVONS ACCOMPLIR ENSEMBLE : Au sein de la direction de l'ingénierie Smart Critical Systems (SCS) , vous contribuerez au développement de bout en bout et au déploiement de solutions d'intelligence artificielle dans des environnements sensibles et sécurisés. Vous prenez part à la conception, au développement et à l'évolution de services à destination, notamment de la Marine Nationale , en intégrant les solutions Thales reconnues dans le domaine de la Défense. Vos missions principales À ce titre, vous serez amené(e) à Contribuer à l'analyse des besoins métiers et opérationnels en interaction avec les clients, utilisateurs finaux et équipes projet afin de cadrer les cas d'usage IA les plus pertinents au regard des enjeux métiers, techniques et de sécurité Contribuer à la conception de solutions d'IA de bout en bout , depuis l'identificat

Université du Littoral Côte d'OpaleHQI 74

RESPONSABILITÉS : Objectif du poste Le poste s'inscrit dans le cadre de PHYTOSCOPE, un projet étudie la biodiversité du phytoplancton marin, en s'intéressant à la fois à sa diversité taxonomique et fonctionnelle et à la structure des assemblages. Il caractérise ces communautés à partir de plusieurs sources d'information : signatures spectrales issues de la télédétection de la couleur de l'océan, types fonctionnels fondés sur les pigments, distribution des tailles et, lorsque disponibles, marqueurs génétiques. L'objectif est de comprendre comment la composition et la structure des assemblages phytoplanctoniques varient en fonction des fluctuations environnementales et du changement climatique à long terme. Pour cela, PHYTOSCOPE propose une approche intégrée combinant trois disciplines complémentaires : l'observation satellitaire, pour suivre la biodiversité à grande échelle et dans le temps ; la modélisation biogéochimique, pour relier les communautés phytoplanctoniques aux processus environnementaux ; la macroécologie théorique, pour comprendre et prédire l'organisation de la biodiversité. L'originalité du projet réside donc dans la mise en commun de ces trois approches au sein d'un cadre harmonisé, afin de mieux caractériser, comprendre et prédire la dynamique de la biodiversité phytoplanctonique face aux changements environnementaux et climatiques. La personne recrutée participera au développement et à la mise en œuvre d'un modèle macroécologique du phytoplancton fondé sur la théorie METAL ( MacroEcological Theory on the Arrangement of Life ). Elle sera notamment amenée à reprendre, adapter et développer des programmes Matlab existants, afin de poursuivre la construction et l'optimisation du modèle. Elle contribuera à tester, évaluer et valider les performances du modèle à partir de données relatives aux principaux groupes phytoplanctoniques, à différentes échelles spatiales, notamment mondiale, Atlantique Nord et européenne. Une attention particulière sera portée à l'analyse de la réponse des assemblages phytoplanctoniques aux gradients et variations environnementaux. La mission comportera une part importante de développement en Matlab, de modélisation et d'analyse de données, ainsi que d'interprétation des résultats dans une perspective de macroécologie et de changement global. Le poste sera basé au LOG à Wimereux, au sein d'un laboratoire interdisciplinaire en sciences marines et géosciences, disposant d'une expertise dans le cadre de la modélisation macroécologique marine. PROFIL RECHERCHÉ : Connaissance, savoir : Le poste s'adresse à un-e candidat-e titulaire d'un doctorat en océanographie biologique avec des connaissances en biostatistiques, data science, traitement du signal, modélisation de niche, en particulier NPPEN. Une expérience en analyse de données environnementales et en programmation scientifique est attendue. Un fort intérêt pour la couleur de l'océan, la biodiversité marine et la recherche interdisciplinaire sera particulièrement apprécié. Savoir-faire : - Traitement de données massives géospatiales, reprojection, masques. - Programmation scientifique : Matlab. - Méthodes de modélisation de niche basée sur les présences seules. - Rédaction scientifique en anglais, reproductibilité (git, notebooks, documentation). Savoir être : - Autonomie, rigueur, sens de l'organisation. - Goût pour le travail interdisciplinaire et en consortium - Communication (équipe, présentations), esprit collaboratif.

Learning SandboxHQI 78

Learning Sandbox, based in Cape Town, seeks a skilled learning designer for online learning in data science and AI. You will lead a cross-functional team, translate objectives into engaging experiences, and leverage AI tools while maintaining high pedagogical standards. The role focuses on new content development, interactive formats, and educator resources for classroom integration, with remote work encouraged and a commitment to inclusive STEM education. J-18808-Ljbffr

StrykerHQI 86

Work Flexibility: Remote or Hybrid or Onsite Stryker is hiring a Lead Analyst, Clinical Data Sciences for our Instruments division. This is a U.S.-based remote position, with preference for candidates located in the Eastern or Central time zones. Join Stryker Instruments in a role that sits at the intersection of clinical evidence, analytics, and business strategy. This position serves as a key connector between clinical questions and data-driven insights, helping stakeholders across Medical Affairs, Clinical Research, Regulatory Affairs, Reimbursement, Market Access, and commercial teams make informed decisions based on high-quality evidence. As part of a growing Clinical Data Sciences function, you will help establish scalable evidence-management capabilities while shaping how clinical evidence is evaluated and leveraged across the organization. This role combines evidence strategy, evidence management, and insight generation, partnering closely with technical experts who build data products and automation solutions. The position offers broad exposure across Stryker Instruments' portfolio and supports initiatives that influence product, regulatory, clinical, and investment decisions. What You Will Do • Lead implementation and management of evidence workflows, including systematic review processes, data extraction, quality control, reporting, and evidence repositories. • Build and scale evidence-management processes across multiple business units, transforming clinical and regulatory requirements into standardized, repeatable workflows. • Translate clinical, regulatory, reimbursement, and business questions into structured analyses and evidence-based recommendations. • Generate and interpret insights from clinical literature, real-world evidence, registries, claims data, and other scientific sources. • Partner with Medical Affairs, Clinical Research, Regulatory Affairs, Market Access, and business stakeholders to prioritize evidence needs and communicate findings. • Support clinical evaluation reports, post-market clinical follow-up activities, publications, scientific communications, and regulatory submissions through evidence synthesis and analytical support. • Evaluate clinical evidence across product portfolios, identify evidence gaps, and support prioritization of future evidence-generation investments. • Drive continuous improvement by partnering with technical teams to automate evidence workflows, enhance data solutions, and expand adoption of evidence-management tools. What You Need Required • Bachelor’s degree in Life Sciences, Biomedical Engineering, Epidemiology, Health Economics and Outcomes Research (HEOR), Public Health, Data Science, or a related field. • Minimum 4 years of experience in clinical evidence, medical affairs analytics, HEOR, epidemiology, clinical research, or data science with clinical application. • Experience translating clinical, scientific, regulatory, or business questions into structured analyses and actionable insights. • Experience conducting clinical literature reviews, evidence synthesis, systematic reviews, or evidence-management activities. • Experience presenting analytical findings and evidence-based recommendations to non-technical stakeholders. Preferred • Advanced degree (MS, MPH, PhD, or equivalent) in Life Sciences, Engineering, Epidemiology, Biostatistics, Public Health, Data Science, or related field. • Hands-on experience with DistillerSR, ReadCube, or similar evidence-management platforms. • Familiarity with medical device regulatory requirements, including FDA submissions, European Union Medical Device Regulation (EU MDR), Clinical Evaluation Reports (CERs), and Post-Market Clinical Follow-Up (PMCF) activities. • Experience with analytics and visualization tools such as Power BI, Tableau, R, Python, or SQL. • Experience working with real-world data sources, healthcare claims, registries, or observational datasets. United States of America Pay Ranges: • USN : $95,700 - $159,500 USD Annual • US5 : $100,500 - $167,500 USD Annual • US10 : $105,300 - $175,500 USD Annual • US15 : $110,100 - $183,400 USD Annual • US20 : $114,800 - $191,400 USD Annual • US30 : $124,400 - $207,400 USD Annual View the U.S. work location and transparency guide to find the pay range for your location. Travel Percentage: 10% Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability. Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

CelonisHQI 91

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Global Value Engineering Center of Excellence Become an integral part of our international, diverse, and dynamic Global Value Engineering Center of Excellence. Our Value Engineers are trusted advisors who operate at the intersection of technology and business , partnering with sales and customers to develop compelling Celonis-powered solutions and prototypes that address critical business challenges. We foster a fast-paced, collaborative environment built on trust, continuous learning, and mutual growth through coaching and mentorship. The Role: Launch Your Enterprise Software Career Kickstart your career in enterprise software through our immersive 12-month Orbit Program . This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture where collaboration and shared success are paramount. You'll leverage your technical background to develop essential Value Engineering skills, build lasting client relationships, and establish yourself as a trusted advisor, paving the way for significant career growth within Celonis. The Orbit Program is structured into classes and cohorts , with start dates organized twice a year. You'll likely join a cohort with a summer start date (June/July) or a winter start date (January/February) , allowing you to grow and develop alongside your cohort peers. Your journey begins with comprehensive onboarding and enablement, followed by hands-on experience in customer engagements and targeted training. You will gain expertise in: Building and coding within the Celonis platform (SQL and PQL) Scoping business and technical requirements Effectively handling objections Developing industry domain knowledge Delivering impactful presentations and demos Understanding value selling and realization Managing customer accounts What You'll Do: Consult with customers using systems analysis to identify core business challenges and determine how Celonis can drive impactful solutions. Present the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy. Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions . Execute proof projects showcasing the value of Celonis Process Intelligence in the context of our customers’ strategy, business initiatives, and challenges Develop and modify Celonis data models using SQL and analyses using PQL (Celonis proprietary language) to create compelling prototypes that address customer pain points. Lead proof-of-concept projects within the Celonis platform to demonstrate tangible value aligned with customer strategies and needs. Collaborate with customers and partners to design and build Celonis solutions that ensure a positive return on investment. Establish strong, trusted advisor relationships with customers through your technical expertise, product knowledge, and business acumen. Articulate and quantify strategic business value for customers, delivering impactful presentations to senior executives. Partner with the implementation services team to ensure successful value realization for customers. Identify opportunities for innovation and collaborate with Product & Engineering teams to influence future product development. Contribute to the Global Value Engineering Center of Excellence by creating reusable collateral, best practices, and tools. What You Need: Bachelor’s degree in Business, Engineering, Data Analytics, Economics, Computer Science, Mathematics , or a related STEM field. Extensive internship experience or 1-3 years of full-time work experience. Hands-on experience with at least one of the following: SQL, Microsoft Power BI, Tableau, or another data analytics solution. A strong passion for technology, big data, and its transformative potential. Excellent analytical and creative problem-solving skills , with the ability to apply technology to business challenges. A customer-centric mindset with a focus on delivering value. The ability to build relationships with senior management and influence decision-making. Confidence in presenting to diverse audiences. A proactive approach to problem-solving, with a willingness to learn from mistakes. Curiosity, self-motivation, a commitment to continuous learning, and the desire to thrive in a fast-paced, high-growth environment. Strong organizational skills with the ability to prioritize and execute on deadlines. Excellent communication skills and fluency in English. Bonus Points: GPA of 3.6 or higher. Degree in Industrial Engineering or a similar field. Degrees combining technical (e.g., Computer Science, Data Science) and business (e.g., Economics, Marketing) skills. Experience with Python and Machine Learning. Customer-facing , customer success/service, or sales experience. Experience with Proof of Concept projects. Supply Chain process experience (Procurement, Order Management, Inventory Management, Production). Finance process experience (Accounts Payable, Accounts Receivable). Experience modeling ROI and TCO for business case justification. Experience with SAP and/or Oracle. Fluency in French and/or Spanish. Visa sponsorship is not offered for this role. The base salary range below is for the role in the specified location, based on a Full Time Schedule. Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location. The base salary range below is for the role in New York, based on a Full Time Schedule. $90,000 — $95,000 USD What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Please be aware of common job offer scams, impersonators and frauds. Learn more here .

CelonisHQI 89

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Global Value Engineering Center of Excellence Become an integral part of our international, diverse, and dynamic Global Value Engineering Center of Excellence. Our Value Engineers are trusted advisors who operate at the intersection of technology and business , partnering with sales and customers to develop compelling Celonis-powered solutions and prototypes that address critical business challenges. We foster a fast-paced, collaborative environment built on trust, continuous learning, and mutual growth through coaching and mentorship. The Role: Launch Your Enterprise Software Career Kickstart your career in enterprise software through our immersive 12-month Orbit Program . This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture where collaboration and shared success are paramount. You'll leverage your technical background to develop essential Value Engineering skills, build lasting client relationships, and establish yourself as a trusted advisor, paving the way for significant career growth within Celonis. The Orbit Program is structured into classes and cohorts , with start dates organized twice a year. You'll likely join a cohort with a summer start date (June/July) or a winter start date (January/February) , allowing you to grow and develop alongside your cohort peers. Your journey begins with comprehensive onboarding and enablement, followed by hands-on experience in customer engagements and targeted training. You will gain expertise in: Building and coding within the Celonis platform (SQL and PQL) Scoping business and technical requirements Effectively handling objections Developing industry domain knowledge Delivering impactful presentations and demos Understanding value selling and realization Managing customer accounts What You'll Do: Consult with customers using systems analysis to identify core business challenges and determine how Celonis can drive impactful solutions. Present the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy. Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions . Execute proof projects showcasing the value of Celonis Process Intelligence in the context of our customers’ strategy, business initiatives, and challenges Develop and modify Celonis data models using SQL and analyses using PQL (Celonis proprietary language) to create compelling prototypes that address customer pain points. Lead proof-of-concept projects within the Celonis platform to demonstrate tangible value aligned with customer strategies and needs. Collaborate with customers and partners to design and build Celonis solutions that ensure a positive return on investment. Establish strong, trusted advisor relationships with customers through your technical expertise, product knowledge, and business acumen. Articulate and quantify strategic business value for customers, delivering impactful presentations to senior executives. Partner with the implementation services team to ensure successful value realization for customers. Identify opportunities for innovation and collaborate with Product & Engineering teams to influence future product development. Contribute to the Global Value Engineering Center of Excellence by creating reusable collateral, best practices, and tools. What You Need: Bachelor’s degree in Business, Engineering, Data Analytics, Economics, Computer Science, Mathematics , or a related STEM field. Extensive internship experience or 0-1 years of full-time work experience. Hands-on experience with at least one of the following: SQL, Microsoft Power BI, Tableau, or another data analytics solution. A strong passion for technology, big data, and its transformative potential. Excellent analytical and creative problem-solving skills , with the ability to apply technology to business challenges. A customer-centric mindset with a focus on delivering value. The ability to build relationships with senior management and influence decision-making. Confidence in presenting to diverse audiences. A proactive approach to problem-solving, with a willingness to learn from mistakes. Curiosity, self-motivation, a commitment to continuous learning, and the desire to thrive in a fast-paced, high-growth environment. Strong organizational skills with the ability to prioritize and execute on deadlines. Excellent communication skills and fluency in English. Bonus Points: GPA of 3.6 or higher. Degree in Industrial Engineering or a similar field. Degrees combining technical (e.g., Computer Science, Data Science) and business (e.g., Economics, Marketing) skills. Experience with Python and Machine Learning. Customer-facing , customer success/service, or sales experience. Experience with Proof of Concept projects. Supply Chain process experience (Procurement, Order Management, Inventory Management, Production). Finance process experience (Accounts Payable, Accounts Receivable). Experience modeling ROI and TCO for business case justification. Experience with SAP and/or Oracle. Fluency in French and/or Spanish. Visa sponsorship is not offered for this role. What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Please be aware of common job offer scams, impersonators and frauds. Learn more here .

PinterestHQI 93

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You’ll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners. The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various DS teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. We offer 2 internship start dates: May 17, 2027 - August 6, 2027 June 14, 2027 - September 3, 2027 What you’ll do: Contribute to our product roadmap and mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. Design and implement core metrics that guide the team efforts and help design and evaluate A/B experiments that drive these metrics. Explore alternative experimentation techniques to help internal teams evaluate their ideas faster. Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. What we’re looking for: Currently pursuing a Master’s degree in statistics, mathematics, economics, applied sciences, computer science or related field. Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and a scripting language (Python or R) Experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Excellent communication skills and the ability to explain learnings to both technical and non-technical partners Ability to connect data analysis to real business problems, in order to impact business performance. Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability. Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only The salary for this position is $11,000 monthly. #LI-HYBRID Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

PinterestHQI 93

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You’ll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners. The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various DS teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. We offer 2 internship start dates: May 17, 2027 - August 6, 2027 June 14, 2027 - September 3, 2027 What you’ll do: Influence and evolve our product roadmap to help us fulfill our mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. Design and implement core metrics that serve as the north stars for team efforts and help design and evaluate A/B experiments that drive these metrics. Explore alternative experimentation techniques to help internal teams evaluate their ideas faster. Help gather explicit signals about Pinner, Merchant, Creator, or Advertiser preferences and tastes using survey methodologies and statistical/modeling based approaches. Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. What we’re looking for: Currently pursuing a PhD degree in statistics, mathematics, economics, applied sciences, computer science or related field. Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and a scripting language (Python or R) Experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Excellent communication skills and the ability to explain learnings to both technical and non-technical partners Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability. Ability to connect data analysis to real business problems, in order to impact business performance. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only The salary for this position is $12,100 monthly. #LI-EB1 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

PinterestHQI 91

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You’ll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners. The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various DS teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. We offer 2 internship start dates: May 17, 2027 - August 6, 2027 June 14, 2027 - September 3, 2027 What you’ll do: Contribute to our product roadmap and mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. Design and implement core metrics that guide the team efforts and help design and evaluate A/B experiments that drive these metrics. Explore alternative experimentation techniques to help internal teams evaluate their ideas faster. Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. What we’re looking for: Currently pursuing a Master’s degree in statistics, mathematics, economics, applied sciences, computer science or related field. Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and a scripting language (Python or R) Experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Excellent communication skills and the ability to explain learnings to both technical and non-technical partners Ability to connect data analysis to real business problems, in order to impact business performance. Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability. Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only The salary for this position is $11,000 monthly. #LI-HYBRID Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

PinterestHQI 91

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You’ll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners. The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various DS teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. We offer 2 internship start dates: May 17, 2027 - August 6, 2027 June 14, 2027 - September 3, 2027 What you’ll do: Influence and evolve our product roadmap to help us fulfill our mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. Design and implement core metrics that serve as the north stars for team efforts and help design and evaluate A/B experiments that drive these metrics. Explore alternative experimentation techniques to help internal teams evaluate their ideas faster. Help gather explicit signals about Pinner, Merchant, Creator, or Advertiser preferences and tastes using survey methodologies and statistical/modeling based approaches. Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. What we’re looking for: Currently pursuing a PhD degree in statistics, mathematics, economics, applied sciences, computer science or related field. Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and a scripting language (Python or R) Experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Excellent communication skills and the ability to explain learnings to both technical and non-technical partners Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability. Ability to connect data analysis to real business problems, in order to impact business performance. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only The salary for this position is $12,100 monthly. #LI-EB1 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

ABBHQI 75

This job is with ABB, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. At ABB, we help industries run leaner and cleaner-and every person here makes that happen. You'll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world. This Position reports to: Data Analytics & BI Manager Your role and responsibilities: In this ro

Deutsche BankHQI 72

This job is with Deutsche Bank, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. Position Overview Role Description Driving the creation of new AI solutions for Corporate Banking and Investment Banking Operations and Controls (CBIBOC). As Deutsche Bank enters into a phase where a variety of data and AI development tools are becoming more accessible, we are seeking an experienced Data Scien

Siège de l'AP-HPHQI 77

La Direction des Services Numériques (DSN) de l'AP-HP est chargée de fournir des services numériques sécurisés, adaptés aux besoins des professionnels et des patients. Son objectif est de contribuer à une meilleure prise en charge, ainsi qu'au développement de la recherche et de l'innovation. Elle développe et gère plusieurs centaines de services numériques, regroupés dans un catalogue, incluant le dossier patient informatisé, les systèmes de biologie et d'imagerie, l'espace patient mon.aphp.fr, les progiciels de gestion et de facturation, ainsi que l'offre bureautique sur plus de 70 000 postes de travail. Elle administre également ses infrastructures avec un réseau interne, trois centres de données, avec une offre de services sur la téléphonie et sur les accès par wifi sur les sites de l'AP-HP. Elle accompagne la réutilisation des données de santé pour répondre aux besoins de pilotage de l'activité hospitalière, d'amélioration du parcours médico-administratif des patients, ou encore de la recherche et d'innovation, au travers de l'entrepôt de données de santé. Elle offre un support informatique unifié, en lien avec les directions des systèmes d'information des 6 groupes hospitalo-universitaires (GHU), des pôles d'intérêt commun (PIC) et des sites. Dans le cadre du développement de l'entrepôt de données maladies rares de la BNDMR, de son appariement avec des sources externes (SNDS, EDS, registres) et de projets d'IA appliqués aux données de santé, le/la Data Science Engineer conçoit, développe, industrialise et évalue des solutions de valorisation des données pour la recherche, le pilotage et l'amélioration des prises en charge. Il/elle fait le lien entre équipes de recherche, métiers, Data Management, Data Science et techniques afin de transformer des travaux de recherche en solutions robustes, reproductibles et déployables à grande échelle. Missions spécifiques - Concevoir, développer et maintenir des pipelines de traitement et d'intégration de données de santé issues de sources hétérogènes - Participer à la conception, l'évolution et l'industrialisation des modèles et jeux de données pour la recherche, le pilotage et l'innovation - Développer, adapter et évaluer des méthodes d'analyse automatisée de données structurées et non structurées, notamment par IA et NLP - Assurer la reprise, la documentation, l'optimisation et la mise en production d'outils ou prototypes issus de projets de recherche - Participer aux analyses statistiques ainsi qu'aux travaux de qualité, traçabilité, reproductibilité et valorisation des données - Collaborer avec les Data Scientists, Data Managers, équipes techniques et partenaires académiques pour répondre aux besoins métiers et scientifiques - Participer à la veille scientifique et technologique, à la rédaction de documentations, rapports, communications et publications Diplôme : Master 2, diplôme d'ingénieur ou doctorat en informatique, science des données, biostatistiques ou équivalent Niveau d'étude : Bac+5 à +8 Niveau d'expérience : 2 à 5 ans SAVOIR FAIRE - Maîtrise de Python, des principaux outils d'analyse et de traitement de données et des SGBD (PostgreSQL ou équivalent) - Expérience dans la conception et le développement de pipelines de données et de traitements automatisés - Expérience du travail collaboratif et reproductible (git) - Expérience en manipulation, structuration et valorisation de données complexes ou hétérogènes - Connaissances en méthodes statistiques appliquées et/ou en apprentissage automatique - Expérience ou intérêt marqué pour les techniques d'IA et de NLP - Une expérience dans le domaine des données de santé, des entrepôts de données ou du SNDS serait un plus CONNAISSANCES - Connaissance des principes d'architecture et de gouvernance des données - Sensibilité aux enjeux de qualité, de traçabilité et de reproductibilité des traitements de données - Connaissances ou intérêt pour les exigences réglementaires applicables aux données de santé - Intérêt pour la recherche appliquée et la valorisation des données de santé QUALITES - Capacité à travailler en équipe pluridisciplinaire (dev, data, médical) - Rigueur, autonomie dans l'organisation du travail et la priorisation des tâches - Capacité à documenter et à rendre compréhensibles des sujets techniques - Sens des responsabilités et respect strict de la confidentialité des données

AstraZenecaHQI 86

Are you a forward-thinking and curious Translational Data Scientist with deep expertise in single-cell and spatial omics and a passion for applying AI to biological discovery? Do you want to help shape the future of Immunology and Cell Therapy by generating insights that accelerate the discovery and development of transformative medicines? Welcome to AstraZeneca. We are looking for an experienced Translational Data Scientist to join our Data Science and Bioinformatics team. You will be part of the Translational Medicine and Bioinformatics department in the Immunology therapeutic area. In this role, you will work in a highly collaborative and science-driven environment focused on advancing our understanding of immune-mediated disease biology , identifying novel therapeutic opportunities, and enabling precision approaches across our Immunology portfolio from discovery through clinical development. As a department we promote an open and collaborative atmosphere, with a culture that is both science-based and patient-focused. Our mission is to understand disease mechanisms at the molecular and cellular level, identify the most effective targets, biomarkers, and patient subgroups, and support translation of scientific discoveries into medicines that improve patients’ lives. This role is located at our site in Kendall Square, Boston . Be encouraged and supported to think creatively in our dynamic environment. Here, we are free to ask the right questions and make bold decisions. We harness multi-omics , computational biology , and AI to accelerate research, connect complex molecular and clinical data to key biological questions, and ensure that discoveries made in the lab can make a meaningful difference for patients. What you will do In this role, you will provide scientific leadership in a highly cross-functional and thriving environment together with specialists in immunology , cell therapy , translational medicine , and data science , as well as with other translational data scientists and AI experts. We are looking for an outstanding Translational Data Scientist to lead the integration and interpretation of large-scale multimodal datasets , with particular emphasis on single-cell and spatial omics in immunology. You will define innovative analytical and AI-driven approaches to identify disease mechanisms , therapeutic hypotheses , biomarkers , and patient subgroups , helping to support decision-making across the portfolio. You will lead the development of transformational precision medicine propositions to deliver life-changing medicines to patients. You will be responsible for planning, performing, interpreting, and communicating analyses that maximize the value of our growing data assets. These may include single-cell transcriptomics , spatial transcriptomics , BCR/TCR repertoire data , high-dimensional immune profiling data , and other complementary molecular and clinical datasets. You will provide scientific leadership in the evaluation, adoption, and practical application of AI and machine learning methodologies across the team. This includes hands-on experience with large language models , biological foundation models , and other frontier AI approaches applied to multimodal biological data analysis, knowledge extraction, and translational insight generation. Critically, you will act as a scientific guide and quality arbiter for AI outputs; ensuring biological validity and translational relevance rather than simply a consumer of AI tools. By applying state-of-the-art computational methods and providing scientific leadership in a collaborative cross-functional setting, you will help generate actionable biological insight in immunological diseases and support the advancement of next-generation therapeutic strategies, including cell therapy . Essential for the role · Relevant PhD (or equivalent) in computational biology, translational data science, bioinformatics, biostatistics, or a related quantitative discipline, plus at least 6+ years of relevant applied experience in academia, biotech, or pharmaceutical R&D. · Substantial experience in Immunology and/or Cell Therapy research within a pharmaceutical, biotech, or leading academic environment. with evidence of shaping translational strategy or influencing programme direction. · Deep expertise in single-cell omics analysis, with strong hands-on experience in developing and applying advanced approaches to single-cell RNA-seq data and translating the results into meaningful biological or therapeutic insights. · Strong experience in spatial omics / spatial transcriptomics / spatial proteomics. · Expertise in at least one of BCR/TCR repertoire analysis or high-dimensional cytometry data analysis such as CyTOF, together with interest in working across both. · Proven experience in multimodal data integration across molecular and clinical datasets, including defining integration strategies, selecting fit-for-purpose methods, and interpreting evidence across modalities such as single-cell transcriptomics, spatial omics, immune repertoire data, cytometry, and associated metadata. · Excellent coding skills in Python, R, or similar languages appropriate for large-scale omics analysis, together with experience in version control such as Git/Bitbucket, Linux environments (cluster and/or cloud), and effective use of modern AI-assisted coding tools such as GitHub Copilot or Claude Code. · Expertise in immunology and the use of omics data to derive biological insight relevant to disease mechanisms, translational research, biomarker strategies, and therapeutic development. · Demonstrated hands-on experience applying machine learning and AI methods to biological data, including familiarity with at least one of: biological foundation models (e.g. scGPT), deep learning frameworks (PyTorch or TensorFlow), large language models for biological knowledge extraction or agentic workflows, or generative and representation learning approaches. · Ability to critically evaluate AI tool outputs in a biological and translational context. · Outstanding communication, collaboration and influencing skills, with the ability to explain complex computational analyses to both expert and non-expert audiences, provide clear recommendations to senior stakeholders, constructively challenge scientific assumptions, and build alignment across cross-functional teams. · A high degree of scientific independence, strategic judgement, curiosity, and a proactive, delivery-focused mindset. Desirable for the role · Experience with both BCR/TCR repertoire analysis and CyTOF . · Experience working within AI-augmented analytical pipelines and the ability to define when and where AI adds genuine scientific value versus where human biological judgement remains essential. · Track record of applying translational data science and computational analyses to drive decisions in drug discovery, translational science, or clinical development. · Experience leading projects and collaborating with internal and/or external partners in matrixed, multidisciplinary teams. Why AstraZeneca? At AstraZeneca we turn ideas into life changing medicines and strive to continuously meet the unmet needs of patients worldwide. Working here means being entrepreneurial, thinking big, and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person. Work policy When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working give us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. What’s next? If you are ready to make a difference - apply today, and we'll make it happen together! Diversity & Inclusion AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. How to Apply Please submit your CV together with a short cover letter outlining your relevant experience and motivation for the role. Applications will be reviewed on a rolling basis. The annual base pay for this position ranges from $143,323.20 - $214,984.80. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans. Date Posted 01-Oct-2026 Closing Date 23-Oct-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

OpenAIHQI 93

About the Team The Strategic Finance team is responsible for shaping the company’s financial strategy and plays a critical role in capital allocation decisions to align financial goals with broader business and mission objectives. The Strategic Finance Data Science function has four core priorities: (1) accurately and credibly forecast our key business and financial metrics; (2) ensure attainment of key targets; (3) support complex modeling and analyses for business decision-making; and (4) scale recurring work and analysis through automation and dashboarding. About the Role The Head of Data Science, Strategic Finance will partner closely with the rest of the Strategic Finance team as well as the Product and GTM Data Science organizations to execute on core business priorities. You will report to the VP of Strategic Finance and work closely with finance leadership to drive data driven decision-making, improve data fluency of those around you, and move the needle on financial outcomes. This is a managerial role. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Develop accurate forecasts for product usage and revenue, compute consumption and their underlying drivers, allowing for real-time tracking of key metrics performance and trajectory. - Become an expert in OAI’s data and systems, through partnership with Data Engineering, Finance, and other Data Science teams. - Design and deliver dashboards for key metrics that impact financial performance. - Lead metrics reviews with Strategic Finance and finance leadership to interpret trends from aforementioned dashboards and surface actionable insights. - Drive automation of standardized reporting, analysis, and processes across our various revenue segments and compute spend. - Build and mentor a high-performing team. - Support critical business decisions with ad hoc analysis as needed. You might thrive in this role if you have: - A MS/PhD in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS). - 12+ years of experience in a Data Science role at a dynamic and outcome-driven organization. - Proficiency in critical analytical tools including SQL. - Extensive experience building production-ready models for time series applications. - Built adjustable and explainable forecast models for multiple planning cycles. - Experience conducting open-ended research projects on new forecasting methodologies. - Exemplary ability to distill complex financial information into actionable insights for leadership. - Excellent communication skills and “storytelling” ability when presenting data insights. - The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful. - Knowledge of Python. - Prior management experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

openaiHQI 86

About the Team The Strategic Finance team is responsible for shaping the company’s financial strategy and plays a critical role in capital allocation decisions to align financial goals with broader business and mission objectives. The Strategic Finance Data Science function has four core priorities: (1) accurately and credibly forecast our key business and financial metrics; (2) ensure attainment of key targets; (3) support complex modeling and analyses for business decision-making; and (4) scale recurring work and analysis through automation and dashboarding. About the Role The Head of Data Science, Strategic Finance will partner closely with the rest of the Strategic Finance team as well as the Product and GTM Data Science organizations to execute on core business priorities. You will report to the VP of Strategic Finance and work closely with finance leadership to drive data driven decision-making, improve data fluency of those around you, and move the needle on financial outcomes. This is a managerial role. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Develop accurate forecasts for product usage and revenue, compute consumption and their underlying drivers, allowing for real-time tracking of key metrics performance and trajectory. - Become an expert in OAI’s data and systems, through partnership with Data Engineering, Finance, and other Data Science teams. - Design and deliver dashboards for key metrics that impact financial performance. - Lead metrics reviews with Strategic Finance and finance leadership to interpret trends from aforementioned dashboards and surface actionable insights. - Drive automation of standardized reporting, analysis, and processes across our various revenue segments and compute spend. - Build and mentor a high-performing team. - Support critical business decisions with ad hoc analysis as needed. You might thrive in this role if you have: - A MS/PhD in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS). - 12+ years of experience in a Data Science role at a dynamic and outcome-driven organization. - Proficiency in critical analytical tools including SQL. - Extensive experience building production-ready models for time series applications. - Built adjustable and explainable forecast models for multiple planning cycles. - Experience conducting open-ended research projects on new forecasting methodologies. - Exemplary ability to distill complex financial information into actionable insights for leadership. - Excellent communication skills and “storytelling” ability when presenting data insights. - The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful. - Knowledge of Python. - Prior management experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

GROUPAMA GAN VIEHQI 74

Au sein de la Direction Technique des Assurances Collectives, vous pilotez une équipe d'actuaires et de data scientists dédiée à l'amélioration de la performance économique, à la maîtrise des risques Santé et Prévoyance et à la transformation des métiers par la donnée et l'Intelligence Artificielle. Véritable partenaire des directions Générale, Financière & Risques et des directions opérationnelles, vous contribuez à la définition des orientations stratégiques de l'entreprise en apportant votre expertise actuarielle, économique et data. Vos principales missions -Développer la connaissance des risques Santé et Prévoyance et identifier les leviers d'amélioration de la rentabilité. -Superviser les études actuarielles, les analyses économiques et les modèles de pilotage. -Renforcer les référentiels de tarification, de provisionnement et de gestion des risques. -Construire et piloter la feuille de route Data Science des Assurances Collectives. -Développer des modèles statistiques, prédictifs et d'intelligence artificielle créateurs de valeur pour les métiers. -Piloter des projets d'innovation, de recherche et de transformation autour de la donnée et de l'IA. -Accompagner l'évolution des processus de souscription, de gestion et de pilotage grâce aux nouvelles technologies. -Manager une équipe d'environ 10 actuaires et data scientists expérimentés, ainsi que plusieurs alternants et stagiaires. -Participer aux projets stratégiques et représenter votre domaine d'expertise auprès des différentes instances de gouvernance. Rémunération selon profil + avantages (CP/RTT/CSE/Intéressement/Abondement/Tickets restaurant...) Votre profil -Diplômé(e) d'une grande école d'ingénieurs ou d'actuariat ; qualification actuarielle appréciée. -Expérience significative en Santé et Prévoyance Collectives. -Expertise reconnue en actuariat et en Data Science. -Expérience confirmée du management d'équipes d'experts. Maîtrise des problématiques de tarification, provisionnement, pilotage économique et gestion des risques. -Expérience de conduite de projets transverses et de transformation. Vos atouts -Excellentes capacités d'analyse et de synthèse. -Vision stratégique et orientation résultats. -Curiosité intellectuelle et goût pour l'innovation. -Pragmatisme et sens des priorités.