Claims Data Scientist

Claims Data Scientist Location: London (Hybrid) Job Type: Permanent, Full-Time Our client is seeking a Claims Data Scientist to join its London-based Claims function. This is an exciting opportunity for an analytical and commercially minded data professional to play a key role in transforming claims data into actionable business insights. Working within a specialist claims team, you will be responsible for developing reporting solutions, analysing portfolio performance, identifying trends, and delivering management information that supports strategic decision-making across the business. The successful candidate will combine strong technical data skills with experience working in claims, insurance, or other data-intensive environments. Key Responsibilities Develop, maintain and enhance reporting and management information used to support key business decisions. Analyse claims data to identify trends, emerging issues, areas of underperformance, and opportunities for improvement. Design and maintain robust data models to ensure data consistency, integrity, and accessibility. Create and develop KPI dashboards, reports, and visualisations using Power BI. Perform root cause analysis and provide actionable insights to support claims oversight and business performance. Ensure high levels of data quality, accuracy, and governance across reporting outputs. Support system enhancements, data projects, and process improvement initiatives. Apply statistical techniques and analytical tools to identify patterns and support predictive analytics activity. Assist with audits, due diligence exercises, and claims data reviews. Collaborate with stakeholders across Claims, Operations, and wider business functions to deliver meaningful insights and reporting solutions. Drive continuous improvement across reporting and analytical processes. Skills & Experience Required Experience in a Data Analyst, Claims Analyst, BI Analyst, Reporting Analyst, Data Scientist, or similar role. Strong experience with: Power BI SQL Excel DAX VBA Experience using Python and/or R. Proven ability to create dashboards, reports, and management information for business stakeholders. Experience transforming and modelling data from multiple sources. Strong analytical and problem-solving skills with excellent attention to detail. Ability to communicate complex findings effectively to both technical and non-technical audiences. Insurance, claims, financial services, or regulated industry experience would be advantageous. Personal Attributes Analytical and inquisitive mindset. Strong attention to detail and accuracy. Proactive and solutions-oriented approach. Excellent communication and stakeholder management skills. Able to manage multiple priorities and meet deadlines. Self-motivated with a continuous improvement mindset. What's on Offer Hybrid working arrangement. Competitive salary and benefits package. Opportunity to work on high-profile analytics and reporting projects. Exposure to senior stakeholders and business-critical decision-making. Strong long-term development and progression opportunities.

We are seeking a highly analytical and detail-oriented  Risk Analytics Analyst  to join a high perforiming Enterprise Risk Management (ERM) team. This role combines both  quantitative and qualitative risk analysis , supporting the development, monitoring, and continuous improvement of their risk framework.  ORSA Development:  Draft ORSA sections as required, including forward-looking risk assessments, stress tests, reverse stress tests and supporting risk analysis. Model Validation:  Carry out validation activities allocated by the Risk Manager, ensuring accuracy, completeness and alignment with regulatory and internal standards. Stress & Scenario Testing:  Execute stress and scenario testing as directed, and document the outcomes of stress-testing and scenario-planning workshops for governance and reporting purposes. Risk Management Framework:  Support the Risk Manager in maintaining and improving allocated areas of the risk framework. If you’re looking to expand your exposure to the quantitative side of risk management, this role offers an excellent opportunity to take that next step - no qualifications are needed.  Apply here or email tyler-rose.kellaway@arthur.co.uk for more info!

🌟 Senior Insurance Risk Analyst | London Market | Quantitative I’m currently partnering with a leading insurance business within the Lloyd’s market to recruit a Senior Insurance Risk Analyst. This is a fantastic opportunity for an experienced risk or actuarial professional to join a high-performing team that plays a pivotal role in shaping the organisation’s risk culture and governance framework. Key responsibilities:  Develop and deliver the integrated assurance agenda  by defining review scopes, completing assurance activities, and producing insightful, high-quality reports. Lead risk discussions and provide objective challenge  to stakeholders, offering clear, actionable recommendations that improve decision making. Define and oversee the organisation’s risk appetite, tolerances, and key risk indicators , ensuring effective monitoring and reporting to governance committees and the Board. Contribute to the Own Risk and Solvency Assessment (ORSA) , ensuring it drives informed, risk-based strategic decisions. Monitor emerging risks and market developments , assessing their implications for the business and supporting proactive risk management across the organisation. Reach out to tyler-rose.kellaway@arthur.co.uk for more info!