Data Scientist, 3228

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

The Role

At HRUK we leverage data science and actuarial expertise to support pricing, risk management and strategic decision‑making. This is a 3‑year FTC and the role holder will develop and embed data science tools and techniques to quantify mortality and morbidity risk, directly supporting pricing and assumption setting. This involves building data analytics infrastructure (i.e. R packages, databases and Apps), using version control and DevOps practices (e.g. Git‑based workflows), and applying data science techniques to internal and client datasets to generate robust, well‑documented, decision‑ready insights.

The role will be highly collaborative, working closely with the Data Science Lead, biometric research actuaries, UK business development and the global Hannover Re data science community. There is scope to be involved in various internal expert networks and attend internal and external conferences.

The ideal role holder will be creative, intellectually curious, versatile, show initiative and be able to translate complex analysis into clear business insights. The role is designed to develop a broad combination of technical, commercial and stakeholder management skills. Through exposure to a variety of projects and collaboration across the company, the successful candidate will build a versatile skill set that can support a range of future career directions.

Duties & Responsibilities

• Development and maintenance of 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 (industry, academic, actuarial, medical and other organisations) 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.

About You

Qualifications Required

• 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.

Experience

• A minimum of 2 years’ experience in a data analytics role or PhD.
• (Re)insurance experience desirable.
• Healthcare and medical data experience desirable.

Skills

• Knowledge of at least one scripting language (R or Python). Basic knowledge of SQL.
• Knowledge of data science and statistical techniques including GLM and tree‑based models.
• Experience with cloud services, DevOps and Git version control desirable.
• Experience building Apps is desirable.

Person Specification

Communicating and Influencing

Ability to translate analytical findings into business recommendations and communicate effectively with both technical and non‑technical audiences, building understanding, support and buy‑in for ideas.

Problem solving

Excellent data analytics skills, with the ability to think analytically and creatively. Demonstrates strong problem‑solving ability and intellectual curiosity, applying analytical skills across a range of business challenges and domains. Pragmatic when developing solutions and capable of adapting new techniques and approaches to deliver business value.

Delivery and Accountability

Is accountable for own delivery to support the overall Branch priorities and objectives. Works in an efficient and responsive manner to ensure deadlines are met.

Innovation and Continuous Improvement

Proactively creates and tests out new ideas and improvements that could have an impact on the business.

Team Player

Strong team player who embraces a positive team culture based on trust, openness, feedback, and collaboration. Works effectively with colleagues, shares knowledge and contributes to successful achievement of team objectives.

Life At Hannover Re UK

Atmosphere

Work in a global team that values innovation, agile decision‑making and mutual respect. We challenge convention, encourage open feedback and foster a community where everyone’s voice matters.

Benefits

From structured onboarding to a comprehensive range of benefits, we invest in your well‑being every step of the way. Our offerings include health and wellness initiatives, personal and professional development opportunities and a support system designed to help you thrive in all aspects of your growth and daily life.

Prospects

Bring your expertise and curiosity – here, you’ll have the space to drive change and own your ideas. We’ll keep you engaged with fresh challenges, mentorship, skill‑building opportunities and the freedom to shape your path.