Intern Data Science and AI (compulsory internship)

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER0003RKI Mercedes-Benz Group AG is one of the most successful automotive companies in the world. With Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans. The commitment to society and the environment determines our daily business. Our aim is to make the world cleaner, safer, more efficient and more comfortable by our actions. We firmly believe in the importance of highly innovative technology and are always aware of our social responsibility in the development of our products. Our HV Technology & Contacting department is responsible with 3 teams for the development of HV technologies and contacts, for the development of vehicle-specific high-voltage line sets for drive, auxiliary unit supply and charging, for the development of charging connection components and chargers for all car constructions with electric and plug-in drive according to the global standards and actively design these standards. In our HV technology and contacting team, we develop all HV contacts for our Mercedes-Benz plug-in and battery electric vehicles, both for drive, auxiliary units and for charging. In addition, we are responsible for the development and thermal simulation of all HV guidelines. In addition, we take care of future technologies for energy transfer/contacting technology and have a screwing laboratory for electrical screw connections in the team. These challenges come to you: Systematically raising the current data structure Analysis of available data and classification Performing a data-based process analysis Development of optimization potentials The internship can start from October 2025.

BigData, Data Science, Simulation Engineering, Economic Engineering or a comparable degree programme Good knowledge of Data Science and AI Good knowledge in data-based process optimization Secure knowledge of German and English in word and writing Safe handling of MS Office Commitment and team skills Analytical thinking and strategic working Please note that your internship at this site must have a prescribed mandatory share. Additional information: Of course, without formalities, we are not. Therefore, we ask you to apply exclusively online and to apply for your application a CV, current enrollment certificate with a specification of the semester, current grade, relevant certificates, if necessary. In addition, proof of compulsory internship and proof of the period of study (maximum size of the annexes 5 MB) and in the online form to mark your application documents as 'relevant for this application'. Further information on the setting criteria can be found here. Members of countries outside the European Economic Area may send their residence/work permit. We are particularly pleased to receive online applications of disabled people and disabled people. If you have any questions, you can also contact SBV-Sindelfingen@mercedes-benz.com to the site's severely disabled representative, who will be happy to assist you in the further application process after your application. Please understand that we no longer accept paper applications and there is no claim to return. Questions about the application process will be answered by HR Services by e-mail to myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10-12 am and 13-15 pm).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers JOBV1_EN