Senior Data Scientist

Capgemini; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Medicover health care

Multisport card

Capgemini Helpline therapy support

NEXT training platform access

Job summary

Capgemini Warsaw is seeking a Senior Data Scientist to lead end-to-end data and AI projects, shaping technical direction and architectures in collaboration with the AI Center of Excellence. You will design scalable solutions, guide clients through scoping workshops, and ensure production readiness with robust ML and data engineering practices.

Ideal candidates bring production AI experience, cloud expertise across GCP/AWS/Azure, and strong Python skills, with a track record in leading

Qualifications

• Proven track record delivering AI systems in production.
• Deep understanding of ML, Generative AI, and agentic architectures.
• Hands-on experience with at least two major cloud platforms (GCP/AWS/Azure).
• Strong Python with production-grade engineering mindset and clean coding practices.
• Experience with CI/CD pipelines and modern MLOps practices.

Responsibilities

• Own the full lifecycle of data and AI projects from discovery to deployment.
• Apply statistics, ML, forecasting, optimization, and Generative AI where appropriate.
• Design and deliver production-ready solutions with long-term maintainability and scalability.
• Lead scoping sessions and translate requirements into clear deliverables.
• Balance rigor with pragmatism and tailor complexity to the problem.
• Communicate insights to technical and non-technical stakeholders.

Skills

Python

CI/CD

MLOps

Stakeholder comms

Tools

Databricks

Snowflake

GCP

AWS

Azure

Job description

Senior Data Scientist - Role Summary

Join a team that brings together advanced data engineering and the latest breakthroughs in artificial intelligence. At Insights & Data, we build scalable Cloud, Big Data, and Generative AI solutions that transform how organizations work with information. As a Senior Data Scientist you will shape the technological direction of key projects, collaborate with experts in our AI Center of Excellence and design architectures that define the future of intelligent systems. This role combines advanced technical expertise in data science with consulting skills to provide strategic guidance and solutions to clients.

YOUR TASKS

• 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.

Frequently used technologies

• Python
• CI/CD
• Cloud (GCP / AWS / Microsoft Azure)

Your Profile

• 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.
• 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.

What You'll Love About Working Here

• Well‑being culture: medical care with Medicover, private life insurance, and Multisport card. We also provide a Capgemini Helpline offering therapeutic support and an educational podcast "Let's talk about wellbeing" available on Spotify.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform, plus free access to Education First, Pluralsight, TED Talks, Coursera, and Udemy Business materials.
• Continuous feedback and ongoing performance discussions through our performance management tool GetSuccess.
• Supportive performance management policy.
• Hybrid working model that fits your life – after onboarding, you can work from a modern office or from home with a full home office package (laptop, monitor, chair).

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.