Lead Data Science Consultant - Engineering

Capgemini Engineering; Eindhoven; On-site; EUR 55,800 - 72,540; Full time

Benefits offered by this job

Mobility budget of €900 per month

Pension contributions

Flexible working hours

Career growth programs

Job summary

Capgemini Engineering is seeking a Lead Data Science Consultant to join their Hybrid Intelligence team in Eindhoven. This role involves collaborating with clients in solving complex challenges using advanced data science methods across various industries.

The ideal candidate will have over 8 years of experience in R&D, a strong background in AI, and excellent communication skills. This position offers a monthly salary between €5,000 and €6,500, along with flexible working hours and a mobility budget.

Qualifications

• Over 8 years of relevant experience in R&D, Engineering, or Software.
• Solid foundation in software development or Data Science.
• Experience as Lead Architect for Data & AI projects.
• Ability to communicate complex concepts to non-technical stakeholders.

Responsibilities

• Collaborate with clients to deliver innovative solutions.
• Engage in Data Science and R&D projects.
• Manage stakeholder relationships and project requirements.
• Translate technical concepts for stakeholders.
• Work on interdisciplinary projects combining AI and applied mathematics.

Skills

Data Science

AI

Problem Solving

Communication

Education

MSc or PhD in a relevant field

Job description

CAPGEMINI ENGINEERING

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life‑saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

YOUR ROLE

As Lead Data Science Consultant at Capgemini Engineering, you will join our Hybrid Intelligence team, a unique group that bridges the gap between cutting‑edge science and advanced technology. The team is focused on solving complex, high‑impact problems that top R&D teams in large enterprises face, particularly in industries such as life sciences, high‑tech, defense and energy transition. We work on challenges that occasionally lack blueprints, requiring innovative solutions developed in close collaboration with research teams.

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 stakeholder and risk management, requirements gathering, software architectural decision making, 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.

YOUR PROFILE

In This Position, You Are Expected To Visit Clients In Different Dutch Cities And Industries, Supporting In Pre‑sales Activities And Translating Technical Challenges To Practical, Comprehensible Solutions. To Succeed In This, You Should Have:

• More than 8 years of relevant work experience in R&D, Engineering, or Software, including significant time in a Lead Architect role for Data & AI projects.
• 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.
• Willingness to mentor and professionally guide more junior colleagues in the team.

What You’ll Love About Working Here

Our Hybrid Intelligence team, consisting of about 20 colleagues, is known for their team engagement. They highly value collaboration on projects, discussing the potential of (new) data science and software engineering topics, and on a weekly basis meeting in person in our Utrecht office.

Other Reasons Are

• Challenging projects in innovative industries with a global impact.
• A strong technical community, where you can collaborate with top engineers and expand your expertise.
• A wide array of career growth programs, digital learning platforms and ongoing performance management, that are crafted in a way to support you in shaping your path.
• A salary between €5.000,- and €6.500,- per month. On top of that, Capgemini contributes to your pension and offers a mobility budget of €900,- per month.
• Contract flexibility, allowing fulltime and part‑time opportunities starting from 24 hours a week.
• Flexible working hours and hybrid working options to support your lifestyle and well‑being.
• A workplace recognized by Ethisphere as one of the World’s Most Ethical Companies.
• Active employee networks that promote diversity, equity, and inclusion—such as OutFront, CapAbility, and Women@Capgemini.

NOTE

To ensure the safety and integrity within our organization, an identity check and background check are part of the onboarding process.

DISCLAIMER

At Capgemini, we believe in a workplace where everyone feels valued for who they are is part of our DNA and instrumental to our long‑term performance. We are building broad talent pools to be able to provide high quality capabilities to our clients, with the right skills and talent mix.