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.