Biometric Risk Data Scientist (3-yr FTC)

Hannover Re; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Health & wellness initiatives

Personal and professional development

Job summary

Hannover Re UK is seeking a data scientist for a 3‑year fixed‑term contract to build analytics infrastructure (databases, R packages and Apps) and apply data science techniques to mortality and morbidity risk. You will work with the Data Science Lead and others to deliver robust insights for pricing, assumptions and decision support.

The role emphasizes collaboration, development of technical, commercial and stakeholder management skills, and exposure to diverse projects within HRUK and across

Qualifications

• Minimum of an Upper Second Class (2:1) degree in data science, statistics, mathematics, computer science, or related field.
• PhD in a relevant field such as computer science, epidemiology or statistics.

Responsibilities

• Develop and maintain HRUK analytics infrastructure (databases, R packages and Apps).
• Research and analyse insurance and health data and conduct analysis of client data and the in‑force portfolio to explore trends and patterns.
• Contribute to the development of analytical techniques and models to enhance HRUK’s understanding of biometric and behavioural insurance risks and support the development of the Central Bases and assumptions.
• Manage own work priorities, work in a highly organised way. Managing colleagues’ expectations.
• Apply and develop data science techniques within HRUK including those that create efficiency improvements and provide data insights.
• Collaborate with and support Business Development by Undertaking analysis of client data to support pricing activity; Creating material for marketing and client presentations on research topics.
• Develop relationships and collaborate with internal and external partners to improve HRUK’s understanding of Data Science and Biometric Risk.
• Risks and Controls: Ensure documentation of own work and output is accurate, up‑to‑date and accessible; Identify and enhance the quality and value of processes for the department.
• Adhere to all Local and Group Guidelines.
• Contribute to strategic, research and business initiatives across the Branch, applying analytical skills to a wide variety of commercial and operational challenges.

Skills

R / Python

SQL

GLM

Tree-based models

DevOps practices

Apps development

Education

Upper Second Class (2:1) degree in data science, statistics, mathematics, computer science

PhD in computer science / epidemiology / statistics

Tools

Git

Cloud services

Job description

Hannover Re UK is seeking a data scientist for a 3‑year fixed‑term contract to build analytics infrastructure (databases, R packages and Apps) and apply data science techniques to mortality and morbidity risk. You will work with the Data Science Lead and others to deliver robust insights for pricing, assumptions and decision support.

The role emphasizes collaboration, development of technical, commercial and stakeholder management skills, and exposure to diverse projects within HRUK and across