Data Science Lead

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, over 420,000 team members in more than 50 countries, delivering end-to-end services and solutions across strategy, technology, design, engineering, and business operations. The Group reported 2025 global revenues of €22.5 billion.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics or a related field.
• 7+ years of experience in Data Science, including NLP, retrieval‑augmented systems, LLMs or applied AI solutions.
• Proven ability to lead Data Science teams and establish experimentation pipelines and evaluation frameworks.
• Strong knowledge of LLMs, embeddings, vector search and model assessment techniques.
• Hands‑on experience with Python, notebooks, experimentation frameworks and AI evaluation tooling.
• Comfortable working cross‑functionally with product, engineering, architecture and knowledge teams.

• Leading Data Science activities across streams and ensuring consistent methodology, model quality and evaluation practices.
• Defining experimentation frameworks, test protocols, prompt evaluation methods and feasibility assessments for new features.
• Supervising how models interact with Neo’s knowledge base to ensure accuracy, relevance and controlled behaviour.
• Guiding Data Scientists in refining models using insights from the feature intake process and platform requirements.
• Working with engineering and architects to ensure models are ready for integration, without taking on MLOps execution.