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: MER0003MOW You're spraying on analytical thinking? Do you want to contribute to the development of the most modern in-car infotainment system? You have a passion for data and joy in communication? Then you are right with us! Expand data-driven concept development for the next generation of the Mercedes-Benz User Experience MBUX. Electromobility, autonomous driving and artificial intelligence are ubiquitous and offer you as Data Analyst/Data Scientist completely new opportunities to use your analytical skills and creativity. Focus on the interaction of the customer with the vehicle, and consider a variety of modalities. In doing so, you're looking for global data from real customers and face the challenge of working with large amounts of data. You work in an international network with data specialists from Sindelfingen, Berlin, Beijing, Shanghai and Sunnyvale. The close cooperation with designers, engineers and software developers offers you insights into many exciting areas. These challenges include: Processing and coordination of data analytics Questions about customer interactions with the vehicle Own Responsibility About Data Analytics Questions from Request to Presentation of Your Results Creation of data models, evaluations and dashboards Testing and analyzing internal vehicle communication Training of the data-centered mindset in the department and beyond Designing and drawing up policy templates If we have awakened your interest, we are pleased to receive a meaningful application including work samples. Design the future of the automobile with us! The internship can start from September 2025.

Course: Computer Science, Data Science, Mathematics, Statistics, Business Informatics, Psychology or a comparable course of studies focusing on Data Analytics, Data Science or Machine Learning Knowledge of the Human-Centered Design Process and Current Data Analytics/ Data Science Methods Secure knowledge of German and English in word and writing Verified skills in the use of common programming languages such as e.g. Python, R or SQL Experiences with platforms and tools such as Databricks, Jupyter Notebooks or Azure are advantageous, but no requirement Basic handling of data visualization tools such as Tableau and Power BI Personal competencies: Commitment and team skills Analytical thinking and strategic, structured working High self-motivation and willingness to work into complex tasks and topics Additional information: Of course, without formalities, we are not. Please apply exclusively online and add a CV to your application, current enrollment certificate with semester indication, current grade, relevant certificates, if applicable. Compulsory internship certificate and proof of the rule period (maximum size of the annexes 5 MB) and in the online form 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 support 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).

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