Intern Data Scientist Residual Value Risk Management (f/m/x)
Required skills
Job description
BMW Group posted this role. Below, we break down what it means for a working student in Munich: your weekly hours, take-home pay and visa limits. You can also open ChatGPT or Claude with a ready-made prompt to tailor your CV, check your fit, draft a cover letter or prep for the interview.
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Description provided by BMW Group
SHARE YOUR PASSION.
World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.
We at the BMW Group offer you the opportunity to become part of our global residual value risk team at BMW Financial Services. This highly strategic risk area arises when vehicles leave production and begin their journey as leased vehicles. You will collaborate with a team of young and dedicated data scientists who tackle this challenge using cutting-edge analytical methods.
What awaits you?
- You will support applying machine learning models to predict future prices of our vehicles on the used-car market.
- Furthermore, you help integrate agentic AI into our daily processes.
- In addition, you assist in analyzing data sets from different markets to derive measures and recommendations.
- Moreover, you contribute to creating new analysis tools to increase our insight into the car market.
- You will also gain unique opportunities to learn from and contribute to discussions on how we evaluate our premium vehicles globally.
- Studies in computer science, data science, statistics, mathematics, economics or a related field.
- Profound skills in two of the following: Python, R and SQL with experience in creating supervised learning algorithms.
- Good understanding of statistics and its application in modeling.
- Excellent knowledge of the Microsoft Office package.
- Intrinsic motivation to continuously expand your knowledge on global electric car market development.
- Proven analytical thinking.
- Excellent command of English in oral and written form; German skills are a plus.
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
Duration: 6 months
Working hours: Full-time
You can find helpful tips on your application and the application process here.
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.
Intern Data Scientist Residual Value Risk Management (f/m/x)
Working student essentials
What this Tech internship in Munich means for you: the pay rules, the social contributions, and what international students should check before applying.
Weekly hours
Internships have no 20-hour cap, but a voluntary internship longer than three months generally has to pay at least the German minimum wage. Mandatory internships in your study programme are exempt.
Working student rulesSocial contributions
Mandatory internships are largely exempt from social contributions. Voluntary internships are treated like regular employment once they run long enough, so contributions usually apply.
Check your insuranceInternational students
Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.
Studying in Germany
