Data Science Lead

The Opportunity

As Data Science Lead for Neo within Capgemini, you will play a key role in shaping the quality, reliability, and effectiveness of AI capabilities across Capgemini’s Group wide AI platform. Neo is a strategic initiative, and this role ensures that all data science contributions meet consistent standards and deliver accurate, relevant, and scalable outcomes.
You will act as the central authority for Data Science within Neo, guiding experimentation, evaluation frameworks, and model quality. Working closely with product, engineering, architecture, and knowledge teams, you will ensure that AI solutions are robust, aligned, and ready for enterprise grade deployment.

About Group IT

At Group IT, we believe that difference drives change. Our vision is bold, and our mission is clear: to empower the business through technology that enables efficiency, profitability, and sustainable growth. We deliver enterprise wide solutions by harmonizing global standards and integrating all business units into a unified IT services model.
As a strategic partner to the business, Group IT translates complex needs into actionable initiatives, advocating for our stakeholders across the global technological landscape. We are currently driving a series of transformative rollouts and initiatives that enhance security, streamline operations, and elevate digital experiences for every Capgemini employee around the globe.
Our ambition is to build a connected, intelligent, and inclusive IT enterprise—accessible to anyone, anytime, anywhere. This is your opportunity to lead change, shape the future, and build technology that matters.

Your Role

As Data Science Lead for Neo, you will be responsible for defining and governing Data Science practices across the platform, ensuring consistent methodologies, high model quality, and reliable AI behaviour.
In this role, you will:
• Lead Data Science activities across multiple streams, ensuring consistent methodologies, evaluation standards, and model quality
• Define and implement experimentation frameworks, test protocols, and evaluation strategies for AI features
• Establish best practices for prompt evaluation, feasibility assessments, and iterative model improvement
• Oversee how AI models interact with Neo’s knowledge base to ensure accuracy, relevance, and controlled behaviour
• Guide Data Scientists in refining models based on feature intake requirements and platform constraints
• Collaborate closely with engineering and architecture teams to ensure models are ready for integration into production environments
• Act as the central authority on AI model quality, validation, and alignment across Neo
• Drive continuous improvement of Data Science standards and practices as the platform evolves

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, with strong exposure to NLP, retrieval augmented systems, LLMs, or applied AI solutions
• Proven experience leading Data Science teams and defining experimentation and evaluation frameworks
• Strong knowledge of LLMs, embeddings, vector search, and model evaluation techniques
• Hands on experience with Python, notebooks, and AI experimentation tooling
• Comfortable working in cross functional environments with product, engineering, architecture, and knowledge teams

About Us

The Capgemini Group is a global leader in partnering with companies to transform and manage their businesses. We do this by unleashing human energy, imagination, and ingenuity through the power of technology, with the goal of achieving an inclusive and sustainable future.
We are a responsible and diverse organization of more than 340,000 people, present in over 50 countries, with a strong 55+ year heritage. Capgemini is trusted by its clients to unlock the value of technology across the full breadth of their business needs. The Group delivers end to end services from strategy and design to engineering, powered by leading capabilities in AI, cloud, and data.

Your Career

Choosing Capgemini means choosing a company where you are empowered to shape your career in the way you’d like. You will be supported and inspired by a collaborative global community and encouraged to reimagine what’s possible.
We place people at the heart of everything we do. You will benefit from extensive career growth programs, flexible working arrangements, and a supportive environment for continuous development. This role offers the opportunity to define the Data Science standards that power Neo’s AI capabilities at an early and high impact stage, directly shaping the platform’s intelligence and performance.
Get the future you want. With Capgemini.