Senior Data Scientist

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing 420,000 team members in more than 50 countries. The Insights & Data team builds scalable Cloud, Big Data, and Generative AI solutions that transform how organizations work with information.

• Proven track record of delivering AI systems in production, covering the full development lifecycle.
• Deep understanding of Machine Learning, Generative AI, and agentic AI architectures, including modern approaches to intelligent system design.
• Hands-on experience with at least two major cloud platforms: GCP, AWS, or Microsoft Azure.
• Strong Python skills combined with a production grade engineering mindset and clean coding practices.
• Experience with CI/CD pipelines and modern MLOps practices, including automation, monitoring, and model deployment.
• Familiarity with modern data platforms, such as Databricks or Snowflake.
• Experience leading teams or technical workstreams in AI or data-focused projects.
• Very good stakeholder communication and decision-making skills, with the ability to collaborate with both technical and business audiences.

• Own the full lifecycle of data and AI projects — from discovery and problem framing, through modeling and validation, to deployment and delivery.
• Apply a wide range of techniques, including statistics, machine learning, forecasting, optimization, and Generative AI where appropriate.
• Design and deliver production ready solutions, going beyond prototypes and ensuring long-term maintainability and scalability.
• Collaborate directly with clients, leading scoping sessions, workshops, and translating ambiguous requirements into clear, actionable deliverables.
• Balance rigor with pragmatism by selecting the right level of analytical and technical sophistication for each problem.
• Communicate insights effectively to both technical and nontechnical stakeholders, adapting style and depth to the audience.