R&D Data Science Group Leader M/F

Product Design Engineering – Data Science & AI Innovation Team /CDI / Permanent position /On-site

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 Ph

D 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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.