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Added 12 mins ago
Senior Manager, Embedded Software
Telesat
Ottawa, ON
Full-time
…government customers for over 55 years. Backed by a legacy of engineering excellence, reliability and industry-leading customer service, Telesat has grown to be one of the largest and most…
Added 26 mins ago
Sr. Programmer Analyst - Research Computing - Regular Full-Time 2026-18484 (2026-18484)
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Toronto, ON
Full-time
Summary: Reporting to the Research Computing Manager, the Senior Programmer Analyst plays a key role in developing, supporting, and optimizing critical research and operational applications…
Added 26 mins ago
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Full-time
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Added 26 mins ago
Cyber Security Engineer
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Contract
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Principal Electrical Engineer (Building Services)
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Added 26 mins ago
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Toronto, ON
Full-time
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Added 26 mins ago
Engineering Manager
symplistic.ai
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Senior Mechanical Engineer (Building Services)
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Added 27 mins ago
Senior Manager, Engineering
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Heavy Equipment Field Service Manager
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Added 42 mins ago
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Added 42 mins ago
Security Engineer/SRE - AEM/Adobe
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…sources rather than from an agent on a serverWeb performance engineering – Core Web Vitals, load and rendering behaviour, and the ability to read a waterfall and attribute a regression to a…
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Toronto, ON · Greater Toronto Area, Canada
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Added 57 mins ago
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Added 57 mins ago
Process Engineering Intern
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Support our process engineering team in technical design, calculations, and project support as needed, under the supervision of our Process Manager.
Added 1 hour ago
Senior AI Platform Security Engineer
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Added 1 hour ago
Process Engineering Intern
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Support our process engineering team in technical design, calculations, and project support as needed, under the supervision of our Process Manager.
Added 1 hour ago
Senior Software Developer
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Closed listing

Munich Re

Data Science Co-op, NA Integrated Analytics (2027 Summer - Toronto)

Toronto, ON, Canada

Pay: Compensation for this position ranges from $1,700 to $2,100 per week.
Posting language: English
Posted: Sep 28, 2026

This opening has closed.

The original listing is kept below for reference.

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Added 2 days ago
Engineering Co-op, NA Integrated Analytics (2027 Summer - Toronto)
Munich Re · Toronto, ON, Canada

Search current openings

Original job description

Archived listing. The details below describe a past opening.

POSITION: Data Science Co-op, NA Integrated Analytics (2027 Summer - Toronto)

LOCATION: Toronto, ON

ANTICIPATED START DATE: Summer 2027

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 AI 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, agentic LLM solutions & 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

To learn more about the North American Integrated Analytics team, please visit our site:

https://www.munichre.com/us-life/en/digital-solutions.html

Our co-op 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.

Position Overview:

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

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.

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 data science space.

Specifically, we’re looking for the following qualifications:

Technical:

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).

Behavioral:

Solid communication skills; spoken & written, formal/informal presentation;
Resourceful and able to learn quickly;
Proven ability to thrive in a dynamic environment.

Preferred (but not required):

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.

Please upload a copy of your unofficial transcript with your application package when applying for this position.

Note that this opportunity is open to current students who are returning to in-class studies upon the completion of their co-op.

Compensation for this position ranges from $1,700 to $2,100 per week. This range represents the typical compensation for candidates hired into this role.

This role is located in our Toronto office on 390 Bay St, and we operate in a hybrid work model.

Munich Re is currently operating under a hybrid working model, including a minimum of 3 days in office per week. 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.

Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest.

Munich Re is committed to providing a work environment that is inclusive and free of employment barriers and discrimination. Accommodations will be made for qualified applicants with a disability throughout the recruitment process. If you receive a request for an interview and you have a disability which will require an accommodation to support your participation, please contact AODARequestHR@munichre.ca as soon as practical so that suitable accommodations can be arranged.

About employer

More about this job

Responsibilities

The co-op will support the development of statistical, machine learning, and GenAI models to assist with underwriting, pricing, and claims management. They will also collaborate with cross-functional teams to implement solutions that improve operational quality and business decision-making.

Requirements

Candidates must be currently enrolled in an undergraduate or graduate program in Computer Science, Statistics, Data Science, or a related field. Proficiency in Python is required, along with strong communication skills and the ability to work with large, disparate datasets.

Skills

Python
SQL
R
Machine learning
Data science
Statistical modeling
GenAI
Data analysis
NLP
LLM APIs
Git
DevOps
Underwriting
Claims management
Communication skills

Benefits

Flexible remote/in-person work
Work-life balance
Mentorship
Leadership opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Reinsurance
Machine Learning
GenAI
Python
SQL
R
Underwriting
Claims Management
NLP
LLM
DevOps
Git
Data Modeling
Analytics
Statistical Modeling
Insurance
Financial Services
Agentic LLM
Big Data

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