(Senior) Data Scientist

Key responsibilities

• 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. Turn ambiguous business questions into well-defined, 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 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. Critically evaluate empirical research, recognizing design weaknesses and correctly interpreting findings. 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. Shape vague business requests into structured, answerable research questions. Work directly and effectively with stakeholders, including medical underwriters, physicians, actuaries, and their managers. Thrive in a research environment with evolving priorities and limited predefined roadmaps. Bring a health-related research background (e.g., 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 empirical, hypothesis-driven research tradition (such as epidemiology, biology, chemistry, or another life or physical science), or possess equivalent demonstrated research experience, evidenced by a substantial independent research project that can be discussed in depth. Additional Information #LI-Hybrid: PartnerRe provides a working environment in which diversity is valued, where all employees feel welcome, respected, and empowered to perform at their best. We invite you to learn more about D&I at PartnerRe. Transcription Notice: PartnerRe may use artificial intelligence to support our recruitment professionals in the administrative aspects of recruitment, including transcribing, summarizing, and organizing information discussed during interviews and to help identify relevant qualifications. If you do not wish the conversation to be transcribed, please let your recruiter know at the start of the interview. Whether or not you agree to the use of interview transcription will not be taken into account when reviewing your application or making a hiring decision. Thank you, PartnerRe Hiring Team