BMW AG
80809 München - Deutschland
Informatiker/in
Praktikum/Trainee/Werkstudent
Vollzeit
ab 01.02.2026
Beschreibung
Stellenreferenz: 174062
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.
SHARE YOUR PASSION.
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. That’s why our expe... weiter lesen
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.
SHARE YOUR PASSION.
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. That’s why our expe... weiter lesen
Stellenreferenz: 174062
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.
SHARE YOUR PASSION.
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. 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.
Our team at the BMW Group focuses on global residual value risk management at BMW Financial Services. We are dedicated data scientists who support strategic decisions for the future value of our premium vehicles.
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 to integrate agentic AI into our daily processes.
- In addition, you will analyze data sets from various markets to derive measures and recommendations for the future.
- Moreover, you contribute to the creation of new analysis tools to increase our market insights.
- You will have the opportunity to learn from and contribute to discussions that shape our global vehicle evaluation.
What should you bring along?
- Studies in computer science, data science, statistics, mathematics, economics or a similar field.
- Profound skills in two of the following: Python, R, or SQL with experience in supervised learning algorithms.
- Good grasp of statistics and its application in modeling.
- Excellent knowledge of the Microsoft Office package.
- Motivation to expand your knowledge on global electric car market development.
- Analytical thinking and structured mindset.
- Excellent English skills in oral and written form; German is a plus.
Would you like to support our team in shaping the future of vehicle value with data-driven insights? 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, seebmw.jobs/whatweoffer
Start date: 02/01/2026
Duration: 6 months
Working hours: Full-time
Do you have questions? Then submit your inquiry easily via ourcontact 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 thishere .
The following standardized selection process is planned for this position: If the recording department finds your profile interesting, you will receive an invitation to an asynchronous video interview. On this basis, our department will decide whether you will be invited to a personal online conversation. This selection process gives you the opportunity to personalize your application — we look forward to receiving your application!
Please apply exclusively online via our career portal. Applications via other channels (especially e-mails) cannot be considered.
5
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.
SHARE YOUR PASSION.
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. 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.
Our team at the BMW Group focuses on global residual value risk management at BMW Financial Services. We are dedicated data scientists who support strategic decisions for the future value of our premium vehicles.
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 to integrate agentic AI into our daily processes.
- In addition, you will analyze data sets from various markets to derive measures and recommendations for the future.
- Moreover, you contribute to the creation of new analysis tools to increase our market insights.
- You will have the opportunity to learn from and contribute to discussions that shape our global vehicle evaluation.
What should you bring along?
- Studies in computer science, data science, statistics, mathematics, economics or a similar field.
- Profound skills in two of the following: Python, R, or SQL with experience in supervised learning algorithms.
- Good grasp of statistics and its application in modeling.
- Excellent knowledge of the Microsoft Office package.
- Motivation to expand your knowledge on global electric car market development.
- Analytical thinking and structured mindset.
- Excellent English skills in oral and written form; German is a plus.
Would you like to support our team in shaping the future of vehicle value with data-driven insights? 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, seebmw.jobs/whatweoffer
Start date: 02/01/2026
Duration: 6 months
Working hours: Full-time
Do you have questions? Then submit your inquiry easily via ourcontact 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 thishere .
The following standardized selection process is planned for this position: If the recording department finds your profile interesting, you will receive an invitation to an asynchronous video interview. On this basis, our department will decide whether you will be invited to a personal online conversation. This selection process gives you the opportunity to personalize your application — we look forward to receiving your application!
Please apply exclusively online via our career portal. Applications via other channels (especially e-mails) cannot be considered.
5
Ref-Nr.: 7905906
Aktualisiert:
13.01.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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