Data Science Lead (AI)

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your role

As the Data Science Lead within Capgemini, you will be responsible for defining and upholding the Data Science standards that support Neo, the newly launched Group-wide AI platform. You will guide experimentation, evaluation, and refinement of AI models, and coordinate Data Science contributions for new features entering Neo. This role focuses on knowledge quality and alignment with Neo’s platform requirements, working closely with product and engineering teams.

Your tasks

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.

Your profile

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.

What You'll love about working here

• Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.

• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.

• Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.

• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.

Get to know us

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube. 

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.