Intern Data Science and Statistical Method Development for High-Voltage Batteries and Cells (f/m/x)

Our team at the BMW Group advances high-voltage battery and cell technology by supporting with data science and statistical analysis. We drive innovation in energy storage for electric mobility by applying state-of-the-art statistical modeling, clustering, and dimension reduction techniques.

What awaits you?

• You will support developing and refining advanced statistical methods for high-voltage battery and cell data.
• Furthermore, you help to prepare, evaluate, and interpret data with a focus on statistical analysis.
• In addition, you contribute to exploratory data analyses and hypothesis testing to identify optimization potential.
• Moreover, you assist in collaborating with data scientists, statisticians, and engineers to develop innovative modeling approaches.
• You will help to integrate emerging statistical techniques and best practices into electromobility applications.

What should you bring along?

• Studies in data science, statistics, mathematics, computer science, electrical engineering or a comparable field.
• Solid knowledge of statistical data analysis, clustering and dimension reduction techniques, and data visualization.
• Experience with large datasets and data preparation, e.g. using NumPy or AWS services.
• Basic knowledge of software development methods such as version control or Scrum.
• Analytical thinking, structured mindset, and problem-solving skills.
• Interest in current trends and technologies in electromobility and battery storage.
• Good English skills; German is a plus.

Would you like to support our team in advancing statistical methods for electromobility? Then apply now!

What do we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Mobile work.
• Attractive & fair compensation.
• Apartments for students (subject to availability & only at the Munich location).
• And much more, see bmw.jobs/whatweoffer

Start date: from 16.02.2026

Duration: 6 months

Working hours: Full-time

Do you have questions? Then submit your inquiry easily via our Contact form . Your inquiry will be answered by phone or email afterwards.

We at the BMW Group place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experiences, and skills of the applicants. More about this here .