CAPGEMINI IS A GLOBAL BUSINESS AND TECHNOLOGY TRANSFORMATION PARTNER, HELPING ORGANIZATIONS TO ACCELERATE THEIR DUAL TRANSITION TO A DIGITAL AND SUSTAINABLE WORLD, WHILE CREATING TANGIBLE IMPACT FOR ENTERPRISES AND SOCIETY. IT IS A RESPONSIBLE AND DIVERSE GROUP OF 340,000 TEAM MEMBERS IN MORE THAN 50 COUNTRIES. WITH ITS STRONG OVER 55-YEAR HERITAGE, CAPGEMINI IS TRUSTED BY ITS CLIENTS TO UNLOCK THE VALUE OF TECHNOLOGY TO ADDRESS THE ENTIRE BREADTH OF THEIR BUSINESS NEEDS. IT DELIVERS END-TO-END SERVICES AND SOLUTIONS LEVERAGING STRENGTHS FROM STRATEGY AND DESIGN TO ENGINEERING, ALL FUELED BY ITS MARKET LEADING CAPABILITIES IN AI, GENERATIVE AI, CLOUD AND DATA, COMBINED WITH ITS DEEP INDUSTRY EXPERTISE AND PARTNER ECOSYSTEM. THE GROUP REPORTED 2024 GLOBAL REVENUES OF €22.1 BILLION.

Get the Future You Want | www.capgemini.co

IN THIS EXCITING ROLE, YOU WILL:

• Collaborate closely with scientific and technical clients to understand their unique challenges and deliver groundbreaking solutions that exceed their expectations.
• Apply your deep understanding of data science to solve real-world problems in the fields of AI, manufacturing, and R&D, while helping clients tackle some of the most critical issues of tomorrow.
• Engage in a variety of Data Science and R&D projects, where risk management, change control processes, and documentation are key aspects of your work.
• Use your strong analytical skills to translate complex technical concepts into understandable solutions for stakeholders, ensuring all project requirements are met effectively.
• Work on interdisciplinary projects that combine applied mathematics, AI, and scientific computing, delivering tangible solutions that drive innovation and create real business value.

TO SUCCEED IN THIS ROLE, YOU SHOULD HAVE:

• A solid foundation in software development or Data Science, with specialized knowledge in AI, manufacturing, or R&D.
• A scientific or technical background, ideally with an MSc or PhD in a relevant field.
• Strong experience in solving complex technical problems and the ability to communicate sophisticated concepts to non-technical stakeholders.
• A passion for working in the intersection of applied mathematics, AI, scientific computing, and software engineering.
• Excellent communication skills, allowing you to bridge the gap between technical teams and client needs, ensuring effective project delivery.