R&D Data Science Group Leader M/F

About this role : The group leader oversees: - A Data Science & Data Analysis team (Insights, modelling, experimentation) - An R&D Prototyping Engineering team (Proof of concept software, technical validation) This role focuses on innovation, feasibility, and validation, not long-term production ownership. Main responsibilities : Leadership & Team Management Lead, mentor, and grow a team of data scientists, data analysts, and R&D/prototyping engineers Set technical direction, priorities and ways of working Foster collaboration between analytical and engineering profiles · Foster collaboration with CAE team by giving them inputs to build reduced order models for process Ensure high standards of quality, rigor and documentation Strategy & Prioritization Define and manage the R&D and analytics roadmap aligned with business objectives Prioritize initiatives based on, business value, technical feasibility and time to impact Balance exploratory research with delivery of concrete outcomes Data Science & Analytics Oversight Data Exploration and Analysis Predictive & statistical modelling Ensure insights and models are actionable and decision-oriented. R&D Software Prototyping Oversight Oversee development of working prototypes that demonstrate feasibility and validate technical approaches Ensures prototypes are reproducible, well documented, and sharable with digital/IT teams Cross-Functional collaboration Act as a key interlocutor with business stakeholders, the product and process R&D team, and the digital/IT teams. Ensure smooth handover of validated concepts to production teams Requirements : Masters or PhD in Data Science/Applied mathematics/Statistics Minimum of 8 years of experience Prior experience in leading multidisciplinary technical teams Strong understanding of statistical and machine learning models Large-scale data analytics Familiarity with modern analytics and prototyping stacks Ability to assess technical feasibility and risks Ability to align diverse profiles towards shared goals Strong ability to translate complex findings into business insights Comfortable communicating with senior stakeholders Strategic mindset with a focus on impact