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Engineering Intern, NA Integrated Analytics (2026 Summer-New York)

Location New York, United States Job type Full-Time Work mode Hybrid Job level Internship & working student Job ID 10304 Company Munich Re Life US Employment type Temporary Area of expertise Engineering & Inspection
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POSITION: Engineering Intern, NA Integrated Analytics (2026 Summer-New York)
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.  We dare to think big and are continuously innovating on behalf of our clients.

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. 

  • Develop solutions that allow easier access to insurance and healthier lifestyles 
  • Build highly scalable products with best security, ML, DevOps practices 
  • Research bias and fairness, disease models, NLP & more
  • Discover diverse careers with leadership opportunities
  • Flexible remote/in-person work + focus on work-life balance
  • Be part of a fast-growing team that values transparency & diversity


Our internship placements provide you with an excellent opportunity to practically apply your classroom and technical training in the reinsurance industry. While with our team, you’ll be; coached by experienced industry professionals, exposed to Munich Re leadership, challenged as a valuable team member and contributor doing meaningful work, and mentored to develop a solid foundation that will help position you as a future leader in the field.

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. This provides a great opportunity to network, develop soft skills and become immersed within the greater Munich Re culture; including engaging with your team while in-office for face-to-face meetings, sharing meaningful moments, and allocating time to connect with your Manager.

To learn more about the North American Integrated Analytics team, please visit our site: https://www.munichre.com/us-life/en/solutions/integrated-analytics.html


THE ROLE:
Responsibilities may include, but will not be limited to the following:

  • Contribute to various on-the-go projects, related to the following areas of concentration (as needed and as fits with your focus):
    • Create, test and support the development of Python based applications and predictive models deployed as RESTful microservices APIs
    • Deploy, monitor and improve visibility for our production applications 
    • Integrate security into all stages of the engineering pipeline and employ a “security first” attitude
  • Build data products with heavy reliance on cloud infrastructure 
  • Incorporate Git, testing, CI/CD workflows and PRs into any coding project
  • Participate in various research projects in the field of machine learning and deep learning – collaborating with our greater team 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.  We’re seeking energetic and collaborative professionals who are excited to join our winning team and show promise of becoming a future leader in the engineering space.

Specifically, we’re looking for the following qualifications:

Technical:

  • 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:

  • Solid communication skills; spoken & written, formal/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 for on-the-job issues.

 Preferred (but not required):

  • 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.

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Your Benefits

With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.

Competitive Salary

We provide fair and competitive compensation that reflects your performance and commitment.

Company performance-based Incentives

In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.

Recognition and Special Rewards

We recognise outstanding individual contributions through a variety of targeted rewards and incentives.

Retirement Planning

We support your long-term financial wellbeing with retirement solutions aligned with local regulations.

Inclusive Workplace Culture

We foster a respectful, inclusive, and values-driven environment.

Learning & Development

We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.

Work-Life-Balance

Supporting your ability to balance family, leisure, and your career.

Health & Wellbeing

We support your physical and mental health through a range of programs and activities in each location.

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