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Intern Artificial Intelligence (m/f/d)*

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Munich Re

4d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    IT & Cybersecurity
  • Munich

AI generated summary

  • You must have a strong academic background in a quantitative field, programming experience in Python, understanding of AI/ML concepts, and availability for a 6-month internship.
  • You will support AI product development, engage in system design, coding, testing, user research, data curation, and collaborate with project teams across various focus areas.

Requirements

  • Master’s studies (or final year of Bachelor's studies) with a strong academic record in a quantitative field like Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related discipline
  • Excellent communication and organization skills; highly motivated with a hands-on mentality.
  • Demonstrated programming experience in python and first experiences with DevOps best-practices (e.g. Git, unit testing).
  • A strong foundation, both in theory and practice, in one or more of the following areas: Deep Learning (e.g. neural network architectures and training techniques, Natural Language Processing, Computer Vision), Machine Learning Operations (e.g. evaluation and monitoring of machine learning systems regarding performance, fairness, trustworthiness, concept drift, …), and/or Large Language Models and Generative AI (e.g. prompt engineering and orchestration, RAG techniques, agentic workflows, fine-tuning, evaluation, and/or deployment of foundation models).
  • Additional experience in related areas such as business analytics, web and app development (especially backend engineering), cloud computing platforms, containerization technologies, CI/CD, or other data science and engineering fields is a plus.
  • You are available for an internship duration of 6 months or longer. If desired, part-time work can be arranged after an initial full-time period of at least 3 months. Please note that this is an on-site role at our Munich offices. Limited remote work will be possible depending on project needs.
  • Students from countries outside the EU require a German residence-/work permit.

Responsibilities

  • Join our AI department as an intern, supporting our highly motivated and ambitious teams. Contribute hands-on to the development and continuous improvement of our internal AI products and platforms. Collaborate closely with our team of AI experts and stakeholders throughout Munich Re’s reinsurance business.
  • Depending on your individual experience and preferences, you'll be embedded in one of our project teams with various focus areas. Your day-to-day activities may include system and requirements design, code implementation, testing and continuous integration, infrastructure and deployment, user research, evaluation and analytics, data curation, technology consulting, or integration of cutting-edge academic research.

FAQs

What is the duration of the internship?

The internship is for a duration of 6 months or longer. Part-time work can be arranged after an initial full-time period of at least 3 months.

Is the internship position on-site or remote?

This is an on-site role at our Munich offices. Limited remote work will be possible depending on project needs.

What qualifications are required for the internship?

Candidates should be Master’s students (or in the final year of Bachelor's studies) with a strong academic record in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, or Engineering.

What programming languages and tools are preferred for this internship?

Demonstrated programming experience in Python is required, along with some experience with DevOps best practices (e.g., Git, unit testing).

What technical areas should candidates have a foundation in?

Candidates should have a foundation in areas such as Deep Learning, Machine Learning Operations, Natural Language Processing, Computer Vision, and/or Large Language Models and Generative AI.

Is experience in web and app development considered an asset?

Yes, additional experience in related areas such as business analytics, web and app development (especially backend engineering), cloud computing platforms, and containerization technologies is considered a plus.

Are there any requirements for candidates from outside the EU?

Yes, students from countries outside the EU require a German residence/work permit.

What attributes are desired in candidates for this internship?

Candidates should possess excellent communication and organization skills, be highly motivated with a hands-on mentality, and be eager to learn and tackle new technical challenges in a business context.

Who do I contact for more information about the internship?

For more information, you can contact Silke Rößler or Oksana Kern at Munich Re's Coordination Students Program.

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Munich Re

Pushing the boundaries of insurability to help the world advance with confidence.

Finance
Industry
10,001+
Employees

Mission & Purpose

Munich Re is one of the world’s leading providers of reinsurance, primary insurance and insurance-related risk solutions. The group consists of the reinsurance and ERGO business segments, as well as the capital investment company MEAG. We are globally active and operate in all lines of the insurance business. Since our founding in 1880, we’ve been known for our unrivaled risk-related expertise and sound financial position. We offer customers financial protection when faced with exceptional levels of damage – from the 1906 San Francisco earthquake to the 2017 Atlantic hurricane season. We possess outstanding innovative strength, which enables us to also provide coverage for extraordinary risks such as rocket launches, renewable energies, cyber attacks, or pandemics. We’re also playing a key role in driving forward the digital transformation of the insurance industry, and in doing so have further expanded our ability to assess risks and the range of services that we offer. Our tailor-made solutions and close proximity to our customers make Munich Re one of the world’s most sought-after risk partners for businesses, institutions, and private individuals. Our corporate culture is defined by performance, mutual respect and trust. All this makes us an attractive employer providing global career development opportunities and prospects.