PreMaster Program - AI Enhanced Data Analytics and Problem Solving
PreMaster Program - AI Enhanced Data Analytics and Problem Solving
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
- 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.
Qualifications :
- Education: you will have completed a university degree (Bachelors) in the area of Computer Science Data Science or similar and have obtained aboveaverage results and will have the firm intention to take up a Masters 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 selfmotivated 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
Additional Information :
The Bosch PreMaster Program is a twostage qualification program for committed graduates with Bachelors degrees who want to complete a Masters degree. After the Bachelors 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 Masters 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
Gina Steinberg (Human Resources)
49 3
Need further information about the job
Christian Korp (Functional Department)
49 8
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
