R&D Manager - Data Enrichment in London

Exclusive to Arthur, we're partnering with an innovative, technology‑led UK insurer that has built its reputation by solving some of the most complex challenges in home insurance. Operating at the intersection of data science, geospatial intelligence and underwriting, the business has spent over two decades using technology and analytics to better understand risk and provide cover where others cannot. As they continue to invest in advanced pricing capabilities, they are looking to appoint an R&D Manager – Risk Pricing & Geospatial Analytics to lead the discovery, development and deployment of next‑generation risk signals that drive underwriting and pricing performance.

This is a rare opportunity for a senior analyst, principal analyst or technical lead to step into a highly visible leadership role where you’ll influence strategy, build new capabilities and see your work deployed directly into production.

The Opportunity

You’ll lead the development of innovative pricing features and geospatial risk models focused on property and household insurance risks. Working across Pricing, Data Science, Underwriting and Claims, you’ll identify new data sources, assess emerging technologies and transform research concepts into deployable pricing solutions that deliver measurable commercial impact. This is a genuinely hands‑on role where you’ll combine technical expertise, commercial thinking and people leadership to shape the insurer’s future risk capability.

What You’ll Be Doing

• Lead the discovery, testing and deployment of new geospatial and peril‑based pricing variables.
• Build and execute a third‑party data strategy, identifying and integrating external datasets that improve risk selection and pricing accuracy.
• Develop innovative address‑level risk features using geospatial, property and environmental data.
• Build, validate and benchmark predictive models across frequency, severity and large‑loss propensity.
• Evaluate new data vendors, run proof‑of‑concepts and quantify commercial value.
• Translate R&D concepts into production‑ready pricing features and models.
• Integrate hazard, exposure and vulnerability data to improve understanding of complex property risks.
• Support model governance, monitoring, explainability and regulatory compliance.
• Hire and grow the team in 2027.
• Present recommendations to senior stakeholders and influence strategic decision‑making.

What We’re Looking For

We’re open to candidates stepping up from Senior Analyst, Principal Analyst, Lead Analyst or Technical Specialist positions. You’ll likely bring:

• Extensive experience within insurance pricing, data science, catastrophe modelling, geospatial analytics or related risk functions.
• Strong household insurance experience.
• A track record of delivering predictive models, pricing features or data products into production environments.
• Experience working with third‑party geospatial, environmental or property datasets.
• Strong technical capability across Python, R and SQL.
• Experience using GIS technologies such as QGIS, ArcGIS, GeoPandas or PostGIS.
• Understanding of model governance, explainability and regulatory requirements.
• Excellent stakeholder management and communication skills.

If your experience aligns with many of the areas outlined above, but not necessarily all of them, we’d still encourage you to apply. The hiring manager is open to exploratory conversations with individuals who can bring some relevant experience and have the capability and ambition to grow into the role.