Intern Data Science (f/m/x)
BMW GroupGermany1 day ago
InternshipEngineering, Information Technology
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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?
What do we offer?
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.
Intern Data Science (f/m/x)
Unternehmensbereich: BMW AG
Standort: München
Arbeitsbereich: Supply Chain Management
Job ID: 176444
Veröffentlichungsdatum: 13.01.2026
Praktikum/Abschlussarbeit
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.
- 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.
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
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.
Intern Data Science (f/m/x)
Unternehmensbereich: BMW AG
Standort: München
Arbeitsbereich: Supply Chain Management
Job ID: 176444
Veröffentlichungsdatum: 13.01.2026
Praktikum/Abschlussarbeit
Key Skills
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