At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Robert Bosch GmbH is looking forward to your application!

• As a PreMaster you will support our data science team with analysis of big data related to quality management and problem solving.
• You will apply machine learning, explainable AI (XAI), and large language models (LLMs), to identify root causes of quality issues.
• Furthermore, you will use generative AI to enhance data analysis workflows.
• Last but not least, you will research and benchmark new AI trends as well as technologies which are relevant for predictive quality and digitalized problem solving.

• Education: you will have completed a university degree (Bachelor's) in the area of Computer Science, Data Science or similar and have obtained above-average results and will have the firm intention to take up a Master's course thereafter
• Experience and Knowledge: solid programming skills in Python or similar, strong knowledge of machine learning methods, experience with Azure and LLMs preferred
• Personality and Working Practice: you are highly self-motivated due to your interest in the topics; you have adapted a conceptual working style and find it easy to communicate clearly with others
• Work Routine: you can work hybrid with us - we meet in the office two times a week
• Enthusiasm: you enjoy working with data and are excited to apply AI as well as data analytics in the automotive supply chain
• Languages: fluent in German or English

The Bosch PreMaster Program is a two-stage qualification program for committed graduates with Bachelor's degrees who want to complete a Master's degree. After the Bachelor's degree, the first phase offers up to 12 months of practical experience as part of a gap year to learn about technical and business contexts. The second phase comprises the Master's course and includes further practical experience in the context of student employment as well as personal mentoring on the road to successful completion.

Start: according to prior agreement

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need support during your application?
Anita Scherg (Human Resources)
+49 9352 18 3772

Need further information about the job?
Christian Korp (Functional Department)
+49 711 811 24848