BMW AG
80809 München - Deutschland
Data Scientist
Arbeit
Vollzeit
ab 01.05.2026
Beschreibung
Stellenreferenz: 178784
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.
THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.
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 t... 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.
THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.
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 t... weiter lesen
Stellenreferenz: 178784
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.
THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.
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.
Our team at the BMW Group IT brings the latest Data Science and Generative AI technologies to the BMW Group. We explore new applications for Data Science and Generative AI and develop industrial use cases across all divisions. By contributing new features and tools to our central AI platform, we help drive digital transformation. During your internship, you will support our international AI team and gain hands-on experience in developing and industrializing data science and machine learning solutions.
What awaits you?
- You will support our professional and international AI team in daily activities.
- Furthermore, you help to develop data science and machine learning applications for IT and business use cases.
- In addition, you actively participate in business-relevant projects and contribute your ideas throughout various project phases.
- Moreover, you will help to carry out proof-of-concepts and support their transition into industrial applications.
- You will assist in collaborating with business units, IT teams, and IT hubs to develop innovative solutions.
- Furthermore, you utilize tools such as DataRobot and internal machine learning environments to achieve optimal results.
What should you bring along?
- Studies in computer science, data science or a related technical field.
- Coding experience in Python, including Pandas, NumPy and scikit-learn.
- Familiarity with various machine learning methods such as supervised, unsupervised and reinforcement learning.
- Experience with Amazon Web Services is advantageous.
- Software engineering skills from previous experience, coding competitions or projects.
- Onsite presence in Munich is required.
- Fluent English skills.
Would you like to support our AI team in developing innovative data science and machine learning 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: from 01.05.2026
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.
8
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.
THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.
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.
Our team at the BMW Group IT brings the latest Data Science and Generative AI technologies to the BMW Group. We explore new applications for Data Science and Generative AI and develop industrial use cases across all divisions. By contributing new features and tools to our central AI platform, we help drive digital transformation. During your internship, you will support our international AI team and gain hands-on experience in developing and industrializing data science and machine learning solutions.
What awaits you?
- You will support our professional and international AI team in daily activities.
- Furthermore, you help to develop data science and machine learning applications for IT and business use cases.
- In addition, you actively participate in business-relevant projects and contribute your ideas throughout various project phases.
- Moreover, you will help to carry out proof-of-concepts and support their transition into industrial applications.
- You will assist in collaborating with business units, IT teams, and IT hubs to develop innovative solutions.
- Furthermore, you utilize tools such as DataRobot and internal machine learning environments to achieve optimal results.
What should you bring along?
- Studies in computer science, data science or a related technical field.
- Coding experience in Python, including Pandas, NumPy and scikit-learn.
- Familiarity with various machine learning methods such as supervised, unsupervised and reinforcement learning.
- Experience with Amazon Web Services is advantageous.
- Software engineering skills from previous experience, coding competitions or projects.
- Onsite presence in Munich is required.
- Fluent English skills.
Would you like to support our AI team in developing innovative data science and machine learning 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: from 01.05.2026
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.
8
Ref-Nr.: 9353668
Aktualisiert:
13.02.2026
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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