Markerstudy Group
Data Development & Enrichment Lead
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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 business's 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.
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About you:
- Proven experience in pricing, analytics, data science, or a related field, within the UK personal lines insurance market.
- Strong academic background in a numerical discipline (e.g., BSc Mathematics, Economics, Computer Science, Data Science).
- Experience of proactively identifying and solving complex business problems using data and/or implementing data-oriented 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.
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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 a relevant field (e.g., Computer Science, Data Science, Operational Research).
- Experience with modern data platforms (e.g., Databricks, Snowflake, MS Fabric).
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