Data Science Lead (AI)

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. With nearly 60 years of heritage, it is a responsible and diverse group of over 420,000 team members in more than 50 countries. The company delivers end-to-end services and solutions with deep industry expertise and a strong partner ecosystem, leveraging capabilities 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.

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. Individuals are evaluated based on qualifications and performance, not personal characteristics.