Arbeitgeber: BMW AG

Stellenreferenz: 197045 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. WE CANNOT PREDICT THE FUTURE. BUT WE CAN SHAPE IT. 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. We, the BMW Group, are driving the digitalization of sales and are transitioning to fully data-driven decision-making and sales management. We place great importance on creating an environment in which our thesis students can truly learn by doing and take on their own areas of responsibility. We, the BMW Group, offer you an interesting and varied Master’s thesis, focusing on discount planning and optimization. What awaits you? - Review and structure relevant literature on discount planning and elasticity estimation. - Estimate discount elasticities and formulate a complex real-world optimization problem in the context of discount pricing. - Design a solution approach that scales across a large product portfolio and multiple international markets. - Document your methodology, implementation, and results and contribute to a high-quality thesis and internal project report. What should you bring? - Studies in Computer Science, Mathematics, Industrial Engineering, Supply Chain Management, or related technical fields. - Interest in and initial experience with causal inference, operations research, and machine learning fundamentals. - Advanced knowledge of Python programming and experience with numerical libraries such as NumPy, SciPy, Pyomo, Gurobipy, or TensorFlow. - Strong problem-solving mindset, attention to detail, and collaborative working style in an interdisciplinary team. - Fluent English. You enjoy learning new things and broadening your horizons? Apply now! What do we offer? - Comprehensive mentoring & onboarding. - Personal & professional development. - Flexible working hours. - Digital offers & mobile working. - Attractive & fair remuneration. - Apartment offers for students (subject to availability & only Munich). - And many other benefits - see jobs/benefits Earliest starting date : at the earliest from 16.11.2026 Duration: 6 months Working hours: Full-time You can find helpful tips on your application and the application processhere . At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn morehere . Please apply exclusively online via our career portal. Applications via other channels (especially e-mails) cannot be considered. 6