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Intern Artificial Intelligence

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Munich Re

2mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Munich

AI generated summary

  • You should be pursuing a Master's or final year Bachelor's in a quantitative field, have strong Python skills, DevOps experience, and knowledge in AI/ML techniques. Availability for 6-month on-site internship needed.
  • You will support AI product development, collaborate with experts, and engage in design, coding, testing, user research, data curation, and technology integration.

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.

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 primary focus of the internship in the Artificial Intelligence department at Munich Re?

The internship primarily focuses on developing and deploying AI technologies across Munich Re's operations, including machine learning, natural language processing, predictive analytics, and AI-driven automation to enhance decision-making, customer experiences, and risk management.

What type of academic background is required for applicants?

Applicants should have a strong academic record in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related discipline, preferably at the Master's level or final year of Bachelor's studies.

What programming experience is expected from interns?

Interns are expected to have demonstrated programming experience in Python and some familiarity with DevOps best practices, such as using Git and unit testing.

What specific technical skills and knowledge should candidates possess?

Candidates should have a strong foundation in theory and practice in areas like Machine Learning, Deep Learning, Large Language Models, and Generative AI, including aspects such as prompt engineering, evaluation, fine-tuning, and deployment of foundation models.

How long is the internship duration, and what are the working arrangements?

The internship is for a duration of at least 6 months, with the possibility of part-time work after an initial full-time period of at least 3 months. The role is primarily on-site in Munich, with limited remote work depending on project needs.

Are there any special requirements for international applicants?

Yes, students from countries outside the EU require a German residence/work permit to be eligible for the internship.

What type of projects will interns be involved in?

Interns will support project teams in various focus areas, including system and requirements design, code implementation, testing, data curation, user research, and integration of cutting-edge academic research into AI products and platforms.

What is Munich Re's approach to Diversity, Equity & Inclusion?

Munich Re embraces the power of differences, believing that diversity fosters innovation and resilience, which enables the company to act braver and better.

How does Munich Re support continuous learning for its employees?

Munich Re considers continuous learning a key differentiator and provides opportunities for employees to build new skills and accelerate their growth.

What career opportunities are available for interns after completing their internships?

Munich Re actively supports career mobility, offering a wealth of career growth opportunities due to its strong global and regional presence, allowing interns to explore various career paths within the organization.

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

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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.