FlexaFlexa
  • Discover companies
  • Find a job
  • Resources
Sign inSign up

Quick links

  • Sign in
  • Sign up
  • Book a demo
  • Live feed

For employers

  • How Flexa can help
  • Case studies
  • Talent Insights Report 2026

For users

  • Discover companies
  • Find a job
  • Resources
  • The Flexa Awards

Flexa info

  • About us
  • Contact us
  • FAQs
  • Legal
FlexaFlexa

© 2026 Flexa, All rights reserved.

  • Privacy policy
  • Terms
Discover companies
Find a job
Resources
View company profileApply now

Working at Rolls-Royce

    Hiring in

    • Asia
    • Europe
    • Australia
    • Canada
    • New Zealand
    • United States

    Office locations

    Join Rolls-Royce Deutschland in Dahlewitz, Germany as a Working Student - Digital Manufacturing in a part-time role. You will build data foundations, machine learning models, and AI agents that optimize high-precision aerospace manufacturing and shop-floor operations.

    Requirements

    • Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Mechanical/Electrical/Industrial Engineering, or related field.
    • Strong programming skills in Python (Pandas, NumPy, 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.
    • Strong analytical thinking and attention to detail.

    Skills & Responsibilities

    • Python: Prepare and analyze complex operational manufacturing data using Pandas, NumPy, or PySpark to drive efficiency.
    • Machine Learning: Build and support systems for predictive maintenance, defect detection, and process optimization.
    • AI Agents & Copilots: Design and prototype conversational AI systems that answer complex manufacturing questions and assist in debugging production issues.
    • Data Pipelines: Take fragmented manufacturing data from MES, ERP, PLM, and IoT to make it usable and model-ready.
    • Potential transition routes: People from data analytics, software development, or engineering roles may bring strong coding and analytical skills, alongside meeting the academic enrollment requirements.

    Job description

    Job 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. We also offer the possibility to write your thesis and student projects together with Rolls-Royce.

    Team accountabilities – How we work:

    We are the Digital Manufacturing team and are accountable for operating digital shopfloor systems, driving application development and introducing technology implementation across OE and MRO segments.

    Aerospace manufacturing is one of the most complex, high-precision environments in the world. Every component, every process, every anomaly matters and as a matter of fact, most of the data generated today is underutilized.

    We are looking for a working student – 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.

    This role focuses on building AI and machine learning solutions by preparing and analysing complex operational data to drive efficiency, quality and traceability.

    Key accountabilities – What we expect from You:

    • 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 (preferred tools)
    • Identify signal in noisy production environments — defects, drift, inefficiencies
    • Build and support ML systems for:
      • Predictive maintenance
      • Defect detection & root cause analysis
      • Process and throughput optimization
    • Design and prototype AI agents / copilots that:
      • Answer complex manufacturing questions
      • Assist in debugging production issues
      • Interact with structured + unstructured production data
    • Move beyond notebooks – contribute to systems that could actually be used on the shop floor

    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
    • Strong analytical thinking and attention to detail

    Pioneer the performance of the future. Join us and you’ll develop your skills and expertise to the very highest levels, working in an international environment for a company known the world over for brilliance and innovation.

    Our People are our Power

    We are an equal opportunities employer. We’re committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives. And the more perspectives we have, the more successful we’ll be. By building a culture of respect and appreciation, we give everyone who works here the opportunity to realise their full potential.

    You can learn more about our global Diversity and Inclusion strategy here

    So that you can be your best at work and home, we’ll consider flexible working arrangements for everyone, in any role.

    http://careers.rollsroyce.de

    Close date: 10.11.2026

    Requisition number: JR6162037

    Contact: GERRecruitmentEmergingTalent@Rolls-Royce.com

    Programme

    Working Students - RRD

    Job Posting Date

    22 Oct 2026; 00:10

    Apply now
    Rolls-Royce

    Working Student - Digital Manufacturing (f/m/d)

    Dahlewitz

    Similar jobs

    SAP

    Working Student - Software Engineering / AI Solutions

    Walldorf
    Paid position
    SAP

    Working Student – AI no-code / low-code developer for enterprise data management

    Walldorf
    Paid position
    SAP

    Working Student – AI Strategy & Innovation

    Zurich
    Paid Working Student position
    SAP

    Working Student (f/m/d) - AI & Product Automation

    Berlin
    Paid working student position
    SAP

    Working Student – AI Engineering & Data Science

    Multiple locations in Germany
    Paid position
    SAP

    Working Student (f/m/d) – AI Engineering & Data Science

    Munich and Walldorf
    Paid position