Capgemini Engineering
Data Scientist VIE - Automotive
Capgemini EngineeringBelgium2 days ago
Full-timeEngineering, Information Technology
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 a VIE Data Scientist, you will play a crucial role in transforming raw data into actionable insights that drive business decisions within the automotive sector. Working alongside a team of data professionals, you'll apply statistical methods and machine learning techniques to solve complex challenges facing automotive manufacturers and suppliers, helping them innovate and optimize their operations.

In this role you will play a key role in:

  • Collecting, processing, and analyzing large automotive datasets using Python, SQL, and Snowflake to extract valuable insights for vehicle performance, manufacturing processes, and customer behavior
  • Developing and implementing machine learning models to solve automotive industry challenges such as predictive maintenance, quality control, and supply chain optimization
  • Creating data visualizations and dashboards to effectively communicate findings to technical and non-technical stakeholders across automotive clients
  • Collaborating with cross-functional teams to understand automotive business requirements and translate them into data science solutions
  • Maintaining version control of code and models using Git and implementing best practices for reproducible research in automotive data projects

YOUR PROFILE

  • Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field
  • 1-2 years of professional experience in data science or analytics roles, preferably with exposure to automotive industry data
  • Strong programming skills in Python with experience in data manipulation libraries (Pandas, NumPy) and machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch)
  • Experience with Snowflake or similar cloud data warehousing platforms
  • Proficiency with Git for version control and collaborative development
  • Knowledge of statistical analysis, machine learning algorithms, and data modeling techniques applicable to automotive use cases
  • Fluent in English

What You Will Love About Working Here

  • Empowering environment - Autonomy and Goal setting are among the top scores with 8,4+ ratings in our monthly employee feedback Pulse.
  • FlexAbroad - Employees in 20+ countries can work abroad for up to 45 days in a 12-month period.
  • Free access to learning platforms - Free access for all to world-class learning assets and curated programs from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.
  • Worldwide Leader of Engineering Services - Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. We help our clients unleashing their R&D potential to develop smart products and services of tomorrow.

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.

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