Senior Data Scientist – Life & Health Analytics

PartnerRe; Dublin; On-site; EUR 90,000 - 120,000; Full time

Job summary

PartnerRe is seeking a senior data science practitioner to join Life & Health Data Science Consulting. The role reports to the Global Head of Data Science Consulting and aims to enhance PartnerRe Life & Health’s value proposition through advanced analytics.

The ideal candidate will have 5+ years in quantitative fields, with insurance industry experience preferred (Life/Health). Strong R and Python skills, plus ML methods, are essential, and the ability to work independently is required.

Qualifications

• MS in a quantitative discipline; PhD welcome.
• 5 years post graduate experience in a related quantitative field.
• Insurance industry experience in Life and/or Health is desirable.
• Qualifications and designations will be considered a plus.

Responsibilities

• Provide advice and expertise to internal and external clients via analysis of data.
• Development & deployment of predictive models.
• Import, wrangling and analysis of data to estimate targets associated with morbidity and mortality (and their drivers).
• Effective data driven storytelling through internal and external presentations and publications.
• Research on the application of analytics to existing and new areas.
• Development of self and others on analytic techniques.

Skills

R

Python

Statistical modelling

Data analysis

Machine learning

Survival analysis

Linux

SQL

Shiny

Independent work

Education

MS in quantitative discipline

PhD in quantitative discipline

Tools

Linux

SQL

Shiny

Job description

PartnerRe is seeking a senior data science practitioner to join Life & Health Data Science Consulting. The role reports to the Global Head of Data Science Consulting and aims to enhance PartnerRe Life & Health’s value proposition through advanced analytics.

The ideal candidate will have 5+ years in quantitative fields, with insurance industry experience preferred (Life/Health). Strong R and Python skills, plus ML methods, are essential, and the ability to work independently is required.