BMW Group
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.
Responsibilities
- Support collecting, preprocessing, and analyzing large datasets to generate insights for supply chain improvements
- Help design, implement, and validate machine learning models for predicting trends and optimizing logistics
- Contribute to developing algorithms and systems that automate reporting tasks and minimize errors
- Assist in collaborating with data engineers, supply chain experts, and IT professionals to integrate ML solutions
- Help prepare detailed reports and presentations on project progress, findings, and recommendations
Requirements
- 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
Benefits
- 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