Working Student Machine Learning & Software Engineering

To strengthen our team in München we are looking for a/an Working Student Machine Learning & Software Engineering (f/m/x)

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.

We, the BMW Group, offer you an interesting and varied working student position in the area of Data Science and Machine Learning. Our on-site Analytics team is focused on the analysis and prediction of faults in the BMW vehicle fleet, ensuring quality and customer satisfaction. As part of the Data Science Team at BMW R&D, you will collaborate with experts, immerse yourself in cutting-edge technologies, and play a vital role in BMW's digital transformation journey.

What awaits you?

• You will support using analytics and machine learning methods to address errors in our vehicle fleet.
• Furthermore, you help to apply traditional and state-of-the-art approaches for data-driven quality improvements.
• In addition, you contribute to collaboration with experienced analysis experts and other interns.
• Moreover, you will assist in preparing documentation and presentations for stakeholders.
• You will support with independent task processing and receive regular feedback from your mentor.

What should you bring along?

• Studies in computer science, computer engineering or a related field.
• Excellent programming skills in Python, PySpark or SQL.
• Passion for building outstanding products.
• Experience with software engineering practices and developing quality software.
• High motivation, strong problem-solving, communicative and collaborative skills.
• Expertise in one or more of the following: LLMs, Data Engineering, Machine Learning, Cloud Computing (AWS/Azure).
• German proficiency is a plus.

Would you like to support our team in shaping the future of data-driven vehicle quality? 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, see bmw.jobs/whatweoffer

Start date: 02/02/2026

Duration: 12 months

Working hours: Part-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.

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. Job ID: 173594 BMW Group

Recruiting

Munich APPLY NOW Are you looking for an exciting challenge? Then join our team.

You can find detailed information about us at bmwgroup.jobs/careers More Insights also on Instagram and Facebook @bmwgroupcareers

• Studies in computer science, computer engineering or a related field.
• Excellent programming skills in Python, PySpark or SQL.
• Passion for building outstanding products.
• Experience with software engineering practices and developing quality software.
• High motivation, strong problem-solving, communicative and collaborative skills.
• Expertise in one or more of the following: LLMs, Data Engineering, Machine Learning, Cloud Computing (AWS/Azure).
• German proficiency is a plus.

Would you like to support our team in shaping the future of data-driven vehicle quality? 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, see bmw.jobs/whatweoffer

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., 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. We, the BMW Group, offer you an interesting and varied working student position in the area of Data Science and Machine Learning. Our on-site Analytics team is focused on the analysis and prediction of faults in the BMW vehicle fleet, ensuring quality and customer satisfaction. As part of the Data Science Team at BMW R&D, you will collaborate with experts, immerse yourself in cutting-edge technologies, and play a vital role in BMW's digital transformation journey. What awaits you? * You will support using analytics and machine learning methods to address errors in our vehicle fleet. * Furthermore, you help to apply traditional and state-of-the-art approaches for data-driven quality improvements. * In addition, you contribute to collaboration with experienced analysis experts and other interns. * Moreover, you will assist in preparing documentation and presentations for stakeholders. * You will support with independent task processing and receive regular feedback from your mentor.