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Rheinmetall AG

Data Analyst / NLP Engineer Intern

Original title: Praktikant Data-Analyst / NLP-Engineer (m/w/d)

Rheinmetall AG
Bremen, HB201-500 employeesSide job
Internship
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This job is at Rheinmetall AG. You apply to them, not to GoAusbildung.

  • Start Date

    On request

  • Sector

    Data analytics and artificial intelligence

  • Salary

    Competitive salary

Listing data as of November 1, 2026

About this Apprenticeship

As an intern, you will support the Market and Competitive Intelligence team in analysing and preparing data and developing data-driven and AI-based solutions. This full-time internship at Rheinmetall Electronics GmbH in Bremen is available from 1 November 2026.

What You'll Learn

  • Systematically collect, prepare and analyse structured and unstructured data
  • Help design and implement machine learning applications, particularly for text classification
  • Support the development and improvement of applications using generative AI
  • Prepare data for AI applications, including data engineering and data pipelines
  • Help develop and integrate user interfaces for data and AI applications
  • Support prompt development and improvement and the use of large language models (LLMs)
  • Carry out ad hoc analyses to answer data-related questions

Requirements

  • Currently studying computer science, business information systems, data science, mathematics, economics or a related subject
  • Practical experience with machine learning, data analytics and generative AI
  • Initial experience with large language models, prompt engineering or similar AI technologies
  • Good Python programming skills
  • Basic knowledge of SQL, regular expressions and working with JSON objects
  • Very good written and spoken English
  • Analytical thinking and a structured, independent approach to work

What Rheinmetall AG offers

  • Good pay
  • Flexible working hours, including flexitime and trust-based working hours
  • Employee benefits, such as a corporate benefits platform and an employee canteen
  • The feel of a startup with the benefits of a large company
  • Exciting projects across disciplines and countries in a matrix organisation
  • A company culture that supports professional and personal development

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