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Engineering Co-op, NA Integrated Analytics; Summer

Remote / Online - Candidates ideally in
Toronto, Ontario, C6A, Canada
Listing for: Munich Re
Seasonal/Temporary, Remote/Work from Home position
Listed on 2026-06-15
Job specializations:
  • Software Development
    Python, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Engineering Co-op, NA Integrated Analytics (2026 Summer )

POSITION: Engineering Co-op, NA Integrated Analytics (2026 Summer-Toronto)

LOCATION
:
Toronto, ON

ANTICIPATED

START DATE:

Summer 2026

Together, we engage with everything we have and are, to help humankind act braver and better.

As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions.

How can ML promote longer and healthier lives? Armed with decades of risk data, novel data sources, and a team of innovative data scientists, engineers, and domain experts, Munich RE is building solutions that are transforming the life insurance industry.

Key Responsibilities
  • Develop solutions that allow easier access to insurance and healthier lifestyles
  • Build highly scalable products applying best security, ML, and Dev Ops practices
  • Research bias and fairness, disease models, NLP, and related areas
  • Discover diverse career opportunities with leadership potential
  • Participate in remote or in‑person work with a focus on work‑life balance
  • Contribute to a fast‑growing team that values transparency and diversity
  • Contribute to various on‑the‑go projects related to the following areas: create, test and support development of Python‑based applications and predictive models deployed as RESTful microservices APIs; deploy, monitor and improve visibility for production applications; integrate security into all stages of the engineering pipeline with a "security first" attitude
  • Build data products with heavy reliance on cloud infrastructure
  • Incorporate Git, testing, CI/CD workflows, and PRs into coding projects
  • Participate in machine learning research projects, collaborating with global teams of scientists and engineers
Qualifications

We’re looking for well‑rounded individuals who are technically astute, have strong communication skills, and demonstrate the ability to build positive relationships with internal clients.

Technical Skills
  • Undergraduate or Graduate degree in Computer Science, Engineering, Physics, Bioinformatics, or equivalent program
  • Familiarity with Python or other object‑oriented languages
  • Experience developing software using principles from the software design life cycle
Behavioral Skills
  • Solid communication skills; spoken and written, formal or informal presentation
  • Able to learn quickly and independently and motivated to help others
  • Proven ability to thrive in a dynamic environment
  • Ability to creatively and rapidly problem‑solve on the job
Preferred Skills
  • Familiarity with Azure or other cloud platforms
  • Ability to independently research new tools and technologies
  • Previous exposure to insurance or financial services environment

Note that this opportunity is open to current students who are returning to in‑class studies upon the completion of the internship.

Munich Re is operating under a hybrid working model, including 3 days in office/week with the remaining days working from home. Students are expected to relocate to the city in which they work for the duration of their co‑op, so they can fully benefit from the full program integration.

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