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tadworth, 30 km
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Vermelo RPO

Data Development & Enrichment Lead

Vermelo RPO Walton on the Hill (1 km)
32 - 40 hour

Surecall Recruitment

HGV Class 1 Driver

Surecall Recruitment Walton on the Hill (1 km)
19 to 20
32 - 40 hour

Facilitate Search Ltd

Commercial Gas Engineer

Facilitate Search Ltd Walton on the Hill (1 km)
45,000 to 48,000
32 - 40 hour


Urban Connect

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Urban Connect Walton on the Hill (1 km)
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32 - 40 hour

Interaction Recruitment

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Interaction Recruitment Walton on the Hill (1 km)
16 to 18.50
32 - 40 hour

PK Education

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PK Education Walton on the Hill (1 km)
600 to 900
32 - 40 hour

Anderselite

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Anderselite Walton on the Hill (1 km)
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Pertemps Open University

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Pertemps Open University Walton on the Hill (1 km)
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Pertemps Milton Keynes

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Pertemps Milton Keynes Walton on the Hill (1 km)
17.33
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James Andrews Recruitment

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James Andrews Recruitment Walton on the Hill (1 km)
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Solus Accident Repair Centres

Customer Liaison Manager

Solus Accident Repair Centres Walton on the Hill (1 km)
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Red 5 People

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Staffline

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Staffline Walton on the Hill (1 km)
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Gi Group

Class 2 Driver

Gi Group Walton on the Hill (1 km)
16.16 to 18.11
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Proman

Senior Site Engineer

Proman Walton on the Hill (1 km)
100,000 to 150,000
32 - 40 hour
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  • Tadworth
Vermelo RPO
Data Development & Enrichment Lead
Vermelo RPO Walton on the Hill (1 km)
32 - 40 hour
Status Open
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What we ask

Education

No minimum education required

What we offer

Hours
32 to 40 hours per week
Employment type
permanent

Job description

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)
Apply now

Apply on the employer's website

Apply now

Apply on the employer's website


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