Data Science Consultant - Engineering, Remote AI

Capgemini

Utrecht

On-site

EUR 70,000 - 100,000

Full time

14 days+
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Benefits offered by this job

26 vacation days
Pension contributions
Home office allowance
High-performance laptop
SIM card for personal use
FlexAbroad: 45 days abroad
Career development programs
Digital learning platforms

Job summary

Capgemini Engineering is seeking a Data Science Consultant to join the Data & AI team in the Utrecht area. You will collaborate with scientific clients to apply data science and AI/ML techniques across manufacturing, R&D, and industrial projects, ensuring impactful and well-documented results.

The role emphasizes translating complex ideas for stakeholders and working on interdisciplinary efforts that blend mathematics, AI, and software engineering.

Qualifications

  • MSc or PhD in a relevant field is preferred.
  • Strong ability to communicate sophisticated concepts to non-technical stakeholders.
  • Passion for applied mathematics, AI, scientific computing, and software engineering.

Responsibilities

  • Collaborate closely with scientific and technical clients to understand challenges and deliver solutions.
  • Apply data science to solve real-world AI/ML, manufacturing, and R&D problems.
  • Engage in Data Science and R&D projects with risk management, change control, and documentation.
  • Translate complex technical concepts into understandable solutions for stakeholders.
  • Work on interdisciplinary projects combining applied mathematics, AI, and scientific computing.

Skills

Data Science
AI/ML
Communication
Interdisciplinary thinking

Education

MSc or PhD in a relevant field

Job description

Capgemini Engineering is seeking a Data Science Consultant to join the Data & AI team in the Utrecht area. You will collaborate with scientific clients to apply data science and AI/ML techniques across manufacturing, R&D, and industrial projects, ensuring impactful and well-documented results.

The role emphasizes translating complex ideas for stakeholders and working on interdisciplinary efforts that blend mathematics, AI, and software engineering.

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