Company Munich Re, Canada (Life)

Location Toronto , Canada

POSITION: Data Scientist, NA Integrated Analytics (2026 New Grad - Toronto)

LOCATION: Toronto, ON

ANTICIPATED START DATE: 2026 – upon graduation

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 Integrated Analytics (IA) team is hiring for its 2026 class of permanent entry-level Data Scientists. We’re looking for new/recent graduates who have a passion for data analytics coupled with a strong desire to be an active contributor in our growing and highly strategic team. 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. 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:

• Apply statistical and machine learning techniques to assist with building models for underwriting, pricing, and claims management;
• Help us drive innovation, enabling new underwriting paradigms, distribution models, and data management;
• Build and implement solutions that enable operational units to improve quality and speed of core processes in order to generate incremental revenue or reduce expense;
• Proactively research new ways of modeling data to unlock actionable insights or improve processes;
• Collaborate across Munich Re functions and with clients to use analytics to influence business decisions;
• Network with existing data science groups at Munich Re – collaborate with internal partners at our Munich Chief Data Office to leverage capabilities in big data technology.

QUALIFICATIONS: First and foremost, you’ll demonstrate a natural desire to provide exceptional client service through your energy, enthusiasm, and initiative.

Specifically, we’re looking for the following qualifications:

• Degree in Computer Science, Statistics, Data Science/Analytics, Applied Mathematics, Engineering (Physics, Bioinformatics) – or equivalent program offering coursework manipulating large datasets;

• Graduate degree (Master’s, PhD) preferred

• Expertise in advanced predictive analytic techniques;

• Fluency with SQL, Python, or R;

• Demonstrated experience working with analytics through the modeling lifecycle including gathering data, design, recommendations, testing, implementation, communication, and revisions;

• Excellent communication skills; spoken & written, formal/informal presentation – to effectively interpret and present actionable insights to partners;

• Resourceful and able to learn quickly;

• A drive to make a difference;

• Proven ability to thrive in a dynamic environment;

• Insurance or financial services background is preferred but not required.

Note that this opportunity is open to both graduating students, as well as recent graduates who have obtained their degree within the past year.

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