Data Scientist

Job description

Introduction

Hours: 32–40 per week. Work location: Utrecht, home, or client site. Experience: professional.

Solve challenging data-driven problems for major Dutch and international clients.

Your opportunities as a Data Scientist at Capgemini

You will create value from client data by combining domain knowledge, statistics, and data-science techniques to identify patterns, trends, and relationships. In a team, you will implement end-to-end client solutions and be responsible for designing and creating statistical and machine-learning models. You will formulate and test hypotheses while keeping stakeholder needs and requirements in view. Even with substantial experience, you will keep learning at Capgemini. Develop into a leader or build coaching skills, with freedom to shape your career and access hundreds of professional and personal-development courses through Capgemini Academy.

Your home at Capgemini

Join a close-knit, motivated Data Science team centered on knowledge-sharing and collaboration. The atmosphere is open and colleagues are ready to help. You will learn about one another's projects and share knowledge. Colleagues also organize social events and outings.

Benefits

• Permanent contract from day one and competitive salary.
• Unlimited training at our Academy.
• 26 vacation days, with the option to buy more.
• Employer pension contribution, with the option to contribute more yourself.
• Work from anywhere with connectivity and home-working allowance.
• Fast laptop and SIM card that you may also use privately.
• Lease car, NS Business Card, or travel-cost reimbursement.

Why this role may suit you

You combine consulting and communication skills with a strong technical mindset. You have a few years' experience, including working with Agile/Scrum teams. We would like to meet you if you also have:

• University degree in Data Science, Computer Science, Engineering, or similar.
• Experience in data analysis, data modeling, machine learning, and data visualization.
• Excellent Python and/or R, plus other relevant data-science tools and techniques.
• Foundational data-engineering and core-engineering skills, including version control, CI/CD, quality, automated testing, and scalability.
• Good Dutch and English.

Get the future you want

That is our promise to you, starting on day one with good onboarding and structured, transparent career paths. You can also diverge from the path, experiment, and choose your own direction. You can count on our trust and support. At Capgemini, you work at the international heart of innovation, at the top level of technology, with an employer focused on you and the future—with sustainability, diversity, and inclusion at the center.