Data Development & Enrichment Lead

Job Title: Data Development & Enrichment Lead

Location: Peterborough or Manchester (hybrid)

About the Role:

As a Data Development & Enrichment Lead, you will drive strategic use of enrichment data to support risk & retail pricing, lending decisions and acceptability. Sitting within the Analytics & Enrichment team, you support the development, maintenance and optimisation of the businesses data enrichment strategies across our insurance brands.

This role blends hands-on analytics with leadership, stakeholder engagement and innovation in insurance enrichment to solve business problems and add commercial value.

Key Responsibilities:

Identify opportunities for value creation: Proactively seek new ways to harvest value from new and existing enrichment from both internal and external sources.

Creation of enrichment evaluation pipelines: develop methodologies for the continued evaluation of new and existing strategies.

Partner with stakeholders: Collaborate with internal and external teams to understand their enrichment needs and work with 3rd parties to understand market opportunities.

Champion analytics and enrichment across the business: Provide analytical support to the business, informing decision making.

Own and optimise enrichment scorecards for the use of lending: Ensure models and processes are continuously refined for maximum effectiveness.

Solve complex business problems: Apply creative approaches to tackle challenges and unlock insights.

Design and enhance monitoring tools: Lead the development and optimisation of monitoring tools which keep an eye on existing enrichment strategies.

Champion data quality and governance: Uphold high standards of data integrity, compliance, and governance across all analytical initiatives.

About you:

Proven experience in pricing, analytics, data science, or a related field, within UK personal lines insurance market.

Strong academic background in a numerical discipline (eg BSc Mathematics, Economics, Computer Science, Data Science).

Experience of proactively identifying and solving complex business problems using data and/or implementing data orientated change that has delivered significant and measurable commercial benefit.

Advanced SQL skills with experience with Python and/or R.

Excellent communication and storytelling skills, with the ability to influence senior stakeholders.

Strong organisational and strategic thinking capabilities.

Desirable

Experience with personal lines enrichment products including the use of credit bureau data.

Exposure to A/B testing and optimisation techniques.

Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research)

Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric)