How do I apply for Working Student Data Analyst at Rheinmetall AG?

You can apply directly on the company's website. Click the "Apply Now" button on this page to be redirected to Rheinmetall AG's application portal. Make sure to have your CV and cover letter ready.

What qualifications do I need for Working Student Data Analyst?

Most Ausbildung positions, including this one, are entry-level and don't require prior work experience. You typically need a school leaving certificate (Hauptschulabschluss, Realschulabschluss, or Abitur) and German language skills (usually B1-B2 level). Check the requirements section on this page for specific details.

Where is this Ausbildung position located?

This position is located in Bremen, Germany. Rheinmetall AG offers this training program at their Bremen location. You may need to find accommodation nearby if you're relocating.

Working Student Data Analyst

Original title: Werkstudent Data Analyst (m/w/d)

Rheinmetall AG

Bremen, HB201-500 employeesSide job

Part-time

View Original

This job is at Rheinmetall AG. You apply to them, not to GoAusbildung.

Start Date
On request
Sector
Rüstung/Elektronik
Salary
Competitive salary

Listing data as of November 4, 2026

About this Apprenticeship

You want to gain practical experience in the field of Data Analytics and Artificial Intelligence and apply your knowledge from your studies in real use cases? As a working student (m/f/d) you support our team in the analysis and preparation of data as well as in the development of data-driven and AI-based solutions.

What You'll Learn

Support in the systematic collection, preparation and analysis of structured and unstructured data
Participation in the conception and implementation of Machine Learning use cases, especially in the area of text classification
Support in the development and further development of applications based on generative AI
Participation in the preparation of data for AI applications, e.g. in the context of Data Engineering and Data Pipelines
Support in the development and optimization of prompts and in the application of Large Language Models (LLMs)
Contribution to the development and integration of user interfaces for data- and AI-based applications
Conducting ad-hoc analyses and support with data-related questions

Requirements

Ongoing studies in (Business) Informatics, Data Science, Mathematics, Economics or a comparable field
Practical experience with Machine Learning, Data Analytics and generative AI
Good programming skills in Python
First exposure to Large Language Models, Prompt Engineering or comparable AI technologies
Basic knowledge of SQL, Regular Expressions and handling of JSON objects
Very good English skills
Analytical thinking and a structured and independent way of working

What Rheinmetall AG offers

Flexible working hours (flextime and trust-based working time)
Attractive remuneration and 30 days vacation per year
Mobile working
Job ticket and bike leasing
Exciting, interdisciplinary and international projects in a matrix organization
A corporate culture that promotes professional and personal development
Individual and diverse external and internal further training opportunities, e.g. in the Rheinmetall Academy
Employee benefits of a large corporation, e.g. company pension scheme and employee share purchase program
Professional onboarding process accompanied by a digital onboarding tool
Corporate Benefits Platform
Fitness and health offers as well as VIVA Family Service
Subsidized company restaurant as well as free water, coffee and fruit

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Listing data as of Nov 5, 2026