Data Science Co-op: AI & ML for Risk Analytics (Hybrid)

InternHunt; Toronto; Hybrid; CAD 77,000 - 96,000; Part time

Job summary

Munich Re is hiring a Data Science Co-op for the NA Integrated Analytics team in Toronto for Summer 2027. The role involves developing ML and GenAI solutions for underwriting, pricing, and claims, with collaboration across the company and mentors from leadership.

The position is hybrid, requiring relocation to Toronto and at least 3 days in office per week. The co-op offers hands-on experience across reinsurance analytics, exposure to leadership, and opportunities to grow into a data science

Qualifications

• Undergrad/Grad degree in Computer Science, Statistics, Data Science/Analytics, Applied Mathematics, Engineering or equivalent.
• Comfortable working with varied data sources and data manipulation at scale.
• Experience with analytics across the modeling lifecycle: data gathering, design, testing, implementation, communication.
• Familiarity with Python (required); exposure to SQL or R is a plus.

Responsibilities

• Support development of statistical, ML, and GenAI techniques for underwriting, pricing and claims models.
• Build and implement solutions to improve core processes and enable revenue growth or cost savings.
• Research new data modeling approaches to unlock actionable insights.
• Collaborate with Munich Re functions to inform business decisions.
• Network with existing data science groups within Munich Re.

Skills

Communication

Teamwork

Adaptability

Education

CS/Statistics/Data Science/Analytics/Engineering degree

Large datasets coursework

Tools

Python

SQL

R

Git

Claude Code

Codex

Job description

Munich Re is hiring a Data Science Co-op for the NA Integrated Analytics team in Toronto for Summer 2027. The role involves developing ML and GenAI solutions for underwriting, pricing, and claims, with collaboration across the company and mentors from leadership.

The position is hybrid, requiring relocation to Toronto and at least 3 days in office per week. The co-op offers hands-on experience across reinsurance analytics, exposure to leadership, and opportunities to grow into a data science