PartnerRe is a leading, privately owned, multi-line global reinsurer with a reputation of financial stability and strength, and a commitment to rebuilding businesses and communities after risk events around the world.
Our mission is to continue to be a financially stable and predictable business partner, supporting our clients with solutions tailored to their needs, delivering superior returns to our owner, providing rewarding opportunities for our people and making a positive contribution to society. To achieve this, we live by our values of Integrity, Performance, Collaboration, Straightforward Communication and Respect and Care.
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- PartnerRe Experience e-book to find out more about what it’s like to work at PartnerRe.location, is CAD $For positions based in other jurisdictions, compensation will be determined in alignment with local regulations, market benchmarks, and internal compensation frameworks. The actual salary will vary depending on a number of factors, including job location, experience, qualifications, education/training, skills, market conditions, and alignment with the role’s requirements.
In addition to base salary, eligible employees may participate in our annual incentive program, payment under which is at the discretion of PartnerRe and subject to individual and company performance. Eligible employees also have the opportunity to participate in an array of perks, including medical, dental and vision coverage, a health spending account, a defined contribution pension plan, life insurance, short
- and long-term disability coverage,



etc.
PartnerRe operates with a hybrid work approach that balances in-office collaboration with the flexibility of remote work. Our employees are required to be in the office 3 days a week. Reasonable accommodations for candidates with disabilities are available upon request throughout the hiring process.
We are a small data science research team with a mandate to build future-ready capabilities and strategic differentiation for PartnerRe’s Life & Health business globally, working on a horizon beyond 2 years. This role's initial and primary focus is medical underwriting in life insurance: turning data and medical research into insight that shapes how we assess biometric risk over the years ahead, not necessarily how we operate today.
The role may extend into other areas over time, potentially including AI applications or actuarial questions, as the team's agenda develops.
This is not a subject matter expert role in medical underwriting. We are data scientists who support and inform underwriters and medical officers, not a team building independent underwriting authority.
Our day-to-day work is currently primarily in R, reflecting where our core infrastructure is strongest today, though this may shift over time. Python is supported for specific needs, and our broader computing infrastructure is largely language agnostic.
Track emerging trends in medical research, data availability, and relevant technologies,



translating them into a perspective on what the business will need to understand in the coming years, not just today.
Analyze data and build models to generate forward-looking insights.
Evaluate and adapt emerging technical methods to meet PartnerRe’s specific needs.
Read and critically appraise medical and other health-related research, assessing study design, identifying limitations, and determining relevance to our context.
Communicate findings clearly to underwriters, medical doctors, and other non-technical stakeholders.
Demonstrate strong data analysis and modeling skills, including sound judgment on real-world issues such as weak proxies, outcome-entangled variables, and informative missingness.
Engage hands-on with new technical methods relevant to the domain, rather than simply following developments from a distance.
Think strategically about value and differentiation, turning observed trends into a clear view of future business needs rather than a collection of technically interesting problems.
Work directly and effectively with stakeholders, including medical underwriters, physicians, actuaries, and their managers.epidemiology, biostatistics, public health, health economics and outcomes research, or clinical epidemiology), enabling quicker development of medical domain expertise.
Demonstrate a genuine interest in medical and health research, even without prior industry experience.
Prior exposure to life insurance products or medical underwriting processes is a strong asset but not required.
Experience with R is a plus and may shorten ramp-up time, although analytical judgment is valued more highly than proficiency in any specific programming language.
Hold a PhD in a field with a strong

📌 Data Scientist Senior (Canada)
🏢 PartnerRe
📍 Canada