Claims Analytics Lead

Overview

You will help build a dedicated claims analytics capability for Markel International within the IPA team. You will shape the analytics roadmap, collaborate with International Claims, and turn data-driven insights into practical tools for claims, underwriting and portfolio management. The role blends hands-on modelling with stakeholder engagement to improve claims decisions, efficiency and performance. You will work across data, BI, and the AI Centre of Enablement to deliver use cases that matter to claims teams and senior leadership.

Pay / Benefits

• up to 16% company pension
• private medical and dental cover
• income protection
• life assurance
• electric car scheme
• 25 days holiday plus bank holidays and buy/sell options

Responsibilities

• Own and prioritise the Claims Analytics roadmap with International Claims; focus on practical use cases with clear business value
• Act as analytics partner to International Claims and build trusted cross-functional relationships
• Lead analysis on priority use cases from data assessment to model building, testing and refinement
• Consolidate claims, policy, exposure, finance data and structured claim notes for a unified view of performance
• Develop models across the claims lifecycle: forecasting, resource planning, triage, severity, recoveries and performance
• Translate analytics into tools and recommendations used by claims teams, in collaboration with Data, Technology and AI Enablement
• Define success measures, ensure data/model governance, and communicate progress to claims professionals and leaders

Key requirements

• Strong experience in claims analytics or related analytics within general insurance
• Hands-on data analysis and development of statistical or ML models using Python or R and SQL
• Experience with unstructured claims data and text analytics concepts
• Track record of embedding analytics into day-to-day decisions and user adoption
• Experience applying analytics to claims problems (forecasting, triage, severity, recoveries, duration or performance)
• Understanding of claims processes and how data informs decisions; familiarity with London Market or specialty lines is useful
• Ability to translate business questions into analytical work and explain findings commercially
• Experience collaborating with data, BI, and technology teams for production use and governance

• Strong commercial judgment
• Excellent communication and prioritisation
• Relationship-building across Claims, Underwriting, Portfolio Management, Actuarial, Finance and Technology
• Python or R programming
• SQL querying
• Statistical and machine learning modelling

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