Description
Rolls-Royce Deutschland brings together a team of more than 3,500 employees from more than 50 nations, pursuing their passion for excellence when it comes to designing, manufacturing and servicing state-of-the-art aerospace engines.
Our headquarters in Dahlewitz near Berlin are home to the company's Development, Assembly and Customer Service units as well as central administrative and strategic departments.
We deliver the best jet engines in the world. Through intelligent innovation and active collaboration, we're putting our customers at the forefront of the aviation industry and we keep them there. Our product portfolio powers more than 35 types of commercial aircraft, and with over 13,000 engines in-service around the world; we're keeping the world flying.
As a Working Student in our Digital Manufacturing team, you will work on building the data foundation and intelligent layers (ML models, AI agents, copilots) that will directly impact how aircraft are built, inspected, and optimized.
Key accountabilities:
- Take fragmented, inconsistent manufacturing data (MES, ERP, PLM, IoT) and make it usable, reliable, and model-ready
- Build scalable data pipelines on modern distributed/cloud platforms
- Identify signal in noisy production environments , defects, drift, inefficiencies
- Build and support ML systems for predictive maintenance, defect detection & root cause analysis, and process and throughput optimization
- Design and prototype AI agents / copilots that answer complex manufacturing questions, assist in debugging production issues, and interact with structured + unstructured production data
Qualifications:
- Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Mechanical/Electrical/Industrial Engineering or a related field
- Strong programming skills in Python (Pandas, NumPy, and/or PySpark)
- Familiarity with data preprocessing, feature engineering, and large-scale data handling
- Experience with SQL and structured datasets
- Foundational knowledge or project experience in building AI agents, chatbots, or conversational AI systems
We offer flexible working arrangements, and we're committed to developing a diverse workforce and an inclusive working environment.