Top Tech Jobs & Startup Jobs in London

Develop and improve analytical and data products that automate pricing, underwriting, and operational processes. Use Python, SQL, Git, and GitHub to support pricing, modelling, data, and analytics teams. Collaborate with internal customers, manage multiple workstreams, solve problems, and help deliver commercial value through automation and research. Experience with data pipelines, machine learning libraries, big data technologies, and Azure is beneficial.

Develop and optimize high-performance pricing recasting capabilities for large-scale scoring, back testing, and impact analysis. Build and validate Python automation and data pipelines, pricing logic, and model features; troubleshoot discrepancies with pricing and analytics teams; support user onboarding; monitor performance and stability; and create documentation and tutorials.

Owns end-to-end digital experimentation and conversion optimisation, including roadmap management, hypothesis development, test planning, stakeholder sign-off, measurement, analysis, and recommendations. The role uses qualitative and quantitative data, user research, web analytics, competitor insights, and A/B testing to improve ecommerce journeys, support new propositions and MVPs, and drive commercial performance.

Investigate and assess motor insurance claims involving contractual breaches, indemnity disputes, MIB claims, and selected high-value or peril-specific losses. Evaluate evidence, determine indemnification, pursue recoveries, communicate decisions empathetically, manage technically complex claims, use predictive analytics to identify riskier claims, and recommend process improvements while complying with legal and regulatory requirements.

Leads a team of risk analysts responsible for managing and optimizing the insurer’s telematics footprint. Identifies profitable growth opportunities, analyzes loss ratios and performance KPIs, develops underwriting risk controls, and makes portfolio recommendations. The role also requires strategic stakeholder engagement, team coaching, customer fairness oversight, and strong knowledge of insurance pricing, competitors, and underwriting principles.

Lead a team of Risk Pricing Analysts to improve risk pricing models, integrate new data and techniques, run pricing projects, develop pricing tools, coach analysts, and ensure fair customer outcomes and regulatory training compliance.

The Pricing Manager will oversee a team of analysts to drive value through data insights in multi-product households, collaborating across departments to implement strategies that benefit customers.

The Risk Pricing Manager will develop and optimize pricing strategies for multicar and multiple product households, ensuring profit growth and effective risk assessment. Key responsibilities include enhancing pricing models, collaborating with cross-functional teams, and improving customer outcomes through data-driven insights.

Leads the end-to-end policy fraud portfolio, optimizing fraud controls, referral strategies, underwriting outcomes, and operational workflows. Owns performance against fraud, commercial, and customer measures; identifies control weaknesses and emerging threats; presents risks and opportunities to senior stakeholders; and delivers automation, change, and process-improvement initiatives that reduce losses, improve efficiency, minimize customer friction, and support sustainable insurance profitability.

Build and maintain machine learning pipelines for market pricing, productionise Python models and data science workflows, and improve testing, deployment, monitoring, versioning, documentation, and governance. Investigate data, model, and pipeline issues; automate manual processes; and collaborate with Pricing, Data Science, Data Engineering, ML Engineering, and governance teams in a regulated environment.