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.

Thr Robert Bosch GmbH is looking forward to your application!

• You analyze data sets (e.g., point-of-sale and pricing data) to assess quality and suitability for demand forecasting.
• Furthermore, you prepare and clean data for use in forecasting models (using tools such as Python, SQL, Databricks).
• You support us in testing and evaluating different demand forecasting models.
• Last but not least, you create reports and dashboards to compare model performance using Power BI.

• Education: studies in the field of Business Informatics, Industrial Engineering, Data Science or comparable with a focus on data analysis and programming
• Experience and Knowledge: first experience with data analysis and visualization tools (e.g., SQL, Power BI, Tableau); programming skills, ideally in Python; experience with Azure and Databricks, as well as basic knowledge of machine learning models or time-series forecasting are a plus
• Personality and Working Practice: you are a proactive, curious person with strong analytical thinking
• Enthusiasm: you enjoy working independently and as part of a team
• Languages: very good in English

Start: according to prior agreement
Duration: 6 months

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

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 further information about the job?
Carina Bohrmann (Functional Department)
+4915234653065

Work #LikeABosch starts here: Apply now!

#LI-DNI