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PartnerRe

Global reinsurer enabling post-event recovery

Senior – Data Scientist

Data ScienceUpdated on Nov 14
Full-time

About the Job

Requirements

  • Demonstrated strong data analysis and modeling skills, including sound judgment on real-world issues such as weak proxies, outcome-entangled variables, and informative missingness.
  • Ability to evaluate empirical research critically, recognize study-design weaknesses, and interpret findings correctly.
  • Strategic thinking to assess value and differentiation and identify future business needs.
  • Ability to work with evolving priorities and limited predefined roadmaps.
  • A health-related research background, such as epidemiology, biostatistics, public health, health economics and outcomes research, or clinical epidemiology, is beneficial for developing medical domain expertise.
  • Genuine interest in medical and health research; prior industry experience is not required.
  • A PhD in a field with a strong empirical, hypothesis-driven research tradition, such as epidemiology, biology, chemistry, or another life or physical science, or equivalent demonstrated research experience evidenced by a substantial independent research project that can be discussed in depth.

Responsibilities

  • Track emerging trends in medical research, data availability, and relevant technologies, and translate them into a perspective on future business needs.
  • Turn ambiguous business questions and vague requests into well-defined, structured, answerable research questions.
  • Prioritize research questions with the greatest potential business impact.
  • Analyze data and build models to generate forward-looking insights.
  • Evaluate and adapt emerging technical methods to PartnerRe’s specific needs, engaging hands-on with methods relevant to the domain.
  • Read and critically appraise medical and other health-related research, assessing study design, limitations, and relevance to the business context.
  • Communicate findings clearly to underwriters, medical doctors, and other non-technical stakeholders.
  • Work directly and effectively with medical underwriters, physicians, actuaries, and their managers.

Desired Qualifications

  • Prior exposure to life insurance products or medical underwriting processes is a strong asset but is not required.
  • Experience with R is a plus and may shorten ramp-up time; analytical judgment is valued more highly than proficiency in any specific programming language.

About the Company

PartnerRe

Global reinsurer enabling post-event recovery

PartnerRe operates as an international reinsurer, providing risk transfer and capacity to primary insurers so they can share or transfer exposure to large and small risks. Its products come from reinsurance agreements (treaties and facultative deals) that spread risk, improve capital efficiency, and stabilize insurers’ balance sheets after losses. The company relies on underwriting expertise, risk assessment, and capital to quote prices and manage assumed risk from clients around the world. PartnerRe differentiates itself through its international footprint, a strong capital base, and a reputation for financial stability that supports rebuilding businesses and communities after risk events. Its goal is to help insurers manage exposure and ensure resilience by providing reliable risk transfer, capital support, and post-event recovery capacity on a global scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Bermuda
Founded
1993

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