Working student position in the field of data analysis and artificial intelligence from May 2025

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: MER0003LCN Our department is at the core of MB.OS and is responsible for the integration of hardware and software architecture. The continuity and automation of software development processes is ensured by our Team Software Integration Platform & Automation. Our CI/CD pipeline organizes the integration process and builds the finished product from the individual components, so that a rollout on the vehicle fleet can be guaranteed quickly and continuously. For our dashboards we process data from the development process and visualize the project status for all stakeholders. You are engaged, coding-affin and want to be part of an innovative team? Then you are right with us! As a student support, you work on exciting tasks related to data analytics, data visualization and data preprocessing. You can dive deep into the world of Machine Learning (ML) and explore the applications of ML models and artificial intelligence (KI). The training and validation of ML models in practice therefore also belong to your tasks. In addition, you get the opportunity to participate in the CI/CD and automation sectors. These challenges include: Execution of data preprocessing and data visualization to render complex data comprehensible and appealing to our dashboards Analysis and search for suitable ML models for our applications Training and validation of ML and/or AI models Contribute to the creation of APIs and endpoints of our databases Working on automation tasks Our vision - make it real! - should inspire you, just like us, to realize the transformation.

Artificial Intelligence, Data Analytics or a comparable degree programme Secure knowledge of English in word and writing Commitment and team skills Analytical thinking and strategic, independent working Basic knowledge of relevant programming languages, tools and software are required: Python and the relevant libraries for machine learning and data analytics PySpark SQL, PostgreSQL Node.js Git Grafana, Power BI, eazyBI GitLab CI Jira, Confluence 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).

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