FAQs
What is the main focus of the internship in the Artificial Intelligence department at Munich Re?
The internship focuses on supporting the development and continuous improvement of internal AI products and platforms, collaborating closely with AI experts and stakeholders across Munich Re’s reinsurance business.
What qualifications are required to apply for this internship?
Candidates should be in their Master’s studies (or final year of Bachelor's studies) with a strong academic record in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related discipline.
What programming skills are essential for this internship?
Demonstrated programming experience in Python is essential, along with some familiarity with DevOps best practices such as Git and unit testing.
What kind of technical knowledge is expected from candidates?
Candidates should have a strong foundation in Machine Learning, Deep Learning, and Large Language Models, including areas like prompt engineering, fine-tuning, evaluation, and deployment of foundation models.
Is prior experience in business analytics or cloud computing beneficial?
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.
How long is the internship duration, and what work arrangements are available?
The internship duration is at least 6 months, and part-time work can be arranged after an initial full-time period of at least 3 months. The role is primarily on-site at the Munich offices, with limited remote work possible depending on project needs.
Are there any specific requirements for students from outside the EU?
Yes, students from countries outside the EU require a German residence or work permit to apply for this internship.
What types of tasks will interns be involved in during their internship?
Interns may engage in various tasks such as system and requirements design, code implementation, testing and continuous integration, user research, data curation, infrastructure deployment, and technology consulting, depending on their project team assignment.
What qualities are ideal candidates expected to possess?
Ideal candidates should have excellent communication and organizational skills, be highly motivated, and possess a hands-on mentality.