Working student Data Engineering & Data Science (d/m/w/x)

Apply now! We are Mercedes-Benz Tech Innovation - but we don't build cars: We define the future with technology. As the largest tech company of Mercedes-Benz Group AG, around 2,500 employees in Ulm, the Stuttgart area, Berlin and Karlsruhe as well as in international tech hubs work on the technology trends of tomorrow's mobility. We are united by our enthusiasm for innovation and the latest technologies - combined with the conviction that individual freedom and personal responsibility are crucial for real progress. We are #techinnovators. Learn more about us Mercedes-Benz Tech Innovation GmbH Your tasks? As a working student (d/m/f/x), you will actively contribute to the development and implementation of innovative AI solutions for vehicle validation. Your responsibilities include the conceptual design and development of prototypes as well as minimum viable products (MVPs). In addition, you will support the team in data engineering by designing, further developing, and optimizing data pipelines for vehicle and sensor data. Another key aspect of your role is the analysis of complex datasets, where you identify patterns and derive relevant features for models. Furthermore, you will be involved in the development, training, and evaluation of machine learning and deep learning models, for example in the context of predictive maintenance or anomaly detection. In addition, you will monitor current trends in the field of AI and contribute new ideas and impulses to the team. Your profile? Ready to get started? If you impress us with proven excellent German and English skills and submit your complete application documents (cover letter, CV, transcript of records, certificate of enrollment, and, if applicable, residence permit/work authorization), you are just one click away from your opportunity. A little tip : Given the large number of top applications we receive, a complete application is your only ticket to the game. Without the full package, unfortunately, your application cannot proceed – no exceptions! You are currently enrolled in a degree program in computer science, data science, engineering, mathematics, physics, or a comparable field. In addition, you have solid knowledge of Python, particularly in working with libraries such as Pandas, NumPy, scikit-learn, and ideally TensorFlow or PyTorch. Initial hands-on experience in data engineering (e.g., with data pipelines, SQL, or Databricks) and/or in data science, especially machine learning or deep learning, is an advantage. You stand out through strong analytical thinking as well as a structured and independent way of working, and you enjoy collaborating in a team. You also have a strong interest in the automotive industry, modern technologies, and artificial intelligence. Ideally, you complement your profile with knowledge of cloud platforms such as AWS, Azure, or GCP, as well as very good written and spoken German and English skills. Benefits Flexible working hours To ensure that there is still enough free time in addition to studying and working, you will receive a pro rata 30 vacation days with us as well as the opportunity to plan your working hours flexibly. In coordination with your team and your contact person, you also have the opportunity to work remotely. In addition, almost all of our positions are suitable for part-time work. Become a full-fledged member of the team You accompany innovative projects at the cutting edge and take on responsible tasks, so you are a full-fledged member of our team right from the start ! Of course, you benefit from an attractive salary. Our culture At Mercedes-Benz Tech Innovation, we are a team! Our cooperation is based on mutual trust and respect. Flat hierarchies , an appreciative atmosphere , openness and open-mindedness are part of our daily work. In order for your start with us to succeed, you will receive an individual onboarding and a direct contact person . A Great Place to Work Awards say more than words - Mercedes-Benz Tech Innovation has already received the " Great Place to Work - Best Employers " award several times. Maybe we will soon be your Great Place to Work!