BMW AG
80809 München - Deutschland
Informatiker/in
Praktikum/Trainee/Werkstudent
Vollzeit
ab 01.03.2026
Beschreibung
Stellenreferenz: 176444
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: 176444
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 shapes the future of automotive supply chains through data-driven innovation and digital transformation. We collaborate with experts to revolutionize material steering and logistics using advanced machine learning and artificial intelligence.
What awaits you?
- You will support collecting, preprocessing, and analyzing large datasets to generate insights for supply chain improvements.
- Furthermore, you help to design, implement, and validate machine learning models for predicting trends and optimizing logistics.
- In addition, you contribute to developing algorithms and systems that automate reporting tasks and minimize errors.
- Moreover, you will assist in collaborating with data engineers, supply chain experts, and IT professionals to integrate ML solutions.
- You help prepare detailed reports and presentations on project progress, findings, and recommendations.
What should you bring along?
- Studies in data science, computer science, engineering, mathematics or a related field.
- Proficiency in Python or R and experience with data analysis tools such as Pandas, NumPy, Matplotlib, Scikit-Learn.
- Familiarity with machine learning frameworks like TensorFlow or PyTorch.
- Knowledge of cloud platforms such as AWS, Azure or Google Cloud.
- Experience with SQL and database management.
- Relevant experience through internships or research in collaborative, international teams.
- Excellent English communication skills, both written and spoken.
Would you like to support our team in shaping the future of supply chain with data-driven solutions? 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: 03/01/2026
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 .
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 shapes the future of automotive supply chains through data-driven innovation and digital transformation. We collaborate with experts to revolutionize material steering and logistics using advanced machine learning and artificial intelligence.
What awaits you?
- You will support collecting, preprocessing, and analyzing large datasets to generate insights for supply chain improvements.
- Furthermore, you help to design, implement, and validate machine learning models for predicting trends and optimizing logistics.
- In addition, you contribute to developing algorithms and systems that automate reporting tasks and minimize errors.
- Moreover, you will assist in collaborating with data engineers, supply chain experts, and IT professionals to integrate ML solutions.
- You help prepare detailed reports and presentations on project progress, findings, and recommendations.
What should you bring along?
- Studies in data science, computer science, engineering, mathematics or a related field.
- Proficiency in Python or R and experience with data analysis tools such as Pandas, NumPy, Matplotlib, Scikit-Learn.
- Familiarity with machine learning frameworks like TensorFlow or PyTorch.
- Knowledge of cloud platforms such as AWS, Azure or Google Cloud.
- Experience with SQL and database management.
- Relevant experience through internships or research in collaborative, international teams.
- Excellent English communication skills, both written and spoken.
Would you like to support our team in shaping the future of supply chain with data-driven solutions? 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: 03/01/2026
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 .
Please apply exclusively online via our career portal. Applications via other channels (especially e-mails) cannot be considered.
5
Ref-Nr.: 8689157
Aktualisiert:
15.01.2026
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.
Passende Jobs für dich
Mercedes-Benz Group AG
Esslingen am Neckar
Ausbildung, Studium
HENSOLDT
Immenstaad
Ausbildung, Studium
Markant Gruppe
Offenburg
Ausbildung, Studium
ALH Gruppe
70597 Stuttgart
Ausbildung, Studium
ITSCare-IT-Services für den Gesundheitsmarkt GbR
Stuttgart
Ausbildung, Studium
