Senior Data Scientist

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 combined with a production grade engineering mindset and clean coding practices.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.#L

Well-being culture: medical care with Medicover, private life insurance, and Multisport 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, Pluralsight, TED Talks, Coursera 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.

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