Data Science Intern, NA Integrated Analytics (2027 Summer - New York)

Munich Re is a global reinsurance company that uses risk data and innovative analytics to transform the life insurance industry. The Data Science Intern will support statistical, machine learning, and generative AI initiatives for underwriting, pricing, claims management, and operational improvement while collaborating with teams across the organization.

What you'll do:

• Supporting the development of statistical, machine learning, and GenAI techniques to assist with building models for underwriting, pricing, and claims management
• Assist in building and implementing solutions that enable operational units to improve quality and speed of core processes in order to generate incremental revenue or reduce expense
• Help research new ways of modeling data to unlock actionable insights or improve processes
• Collaborate across Munich Re functions to understand how analytics can influence business decisions
• Network with existing data science groups at Munich Re

What they're looking for:

• Undergraduate or Graduate degree in Computer Science, Statistics, Data Science/Analytics, Applied Mathematics, Engineering (Physics, Bioinformatics) – or equivalent program offering coursework manipulating large datasets
• Comfortable working with and combining disparate and varied data sources
• Familiarity working with analytics through the modeling lifecycle including gathering data, design, recommendations, testing, implementation, communication, and revisions
• Experience working with any of the following: python, SQL, or R (familiarity with python is required, and multiple languages considered an asset)
• Solid communication skills; spoken & written, formal/informal presentation
• Resourceful and able to learn quickly
• Proven ability to thrive in a dynamic environment
• Note that this opportunity is open to current students who are returning to in-class studies upon the completion of the internship
• You will be expected to relocate to the greater New York area, to meet our **hybrid working model of at least 3 days a week in office**
• Experience using git and an AI coding tool such as Claude Code or Codex
• Experience working with LLM APIs and/or building agents
• Previous exposure to insurance or financial services environment is preferred but not required

Benefits:

• Flexible remote/in-person work + focus on work-life balance
• Coached by experienced industry professionals
• Exposed to Munich Re leadership
• Mentored to develop a solid foundation that will help position you as a future leader in the field
• Hybrid working model of at least 3 days a week in office