Jobs at Hastings Direct

Develop and support predictive models for insurance risk, pricing, and underwriting decisions. Integrate models into production systems, monitor and maintain them, and build reusable modelling tools, pipelines, and processes. Prepare and evaluate data features for predictive value, stability, interpretability, and customer impact. The role requires Python, SQL, machine-learning, version-control, and commercial data-science experience, with Azure ML, Snowflake, and insurance experience desirable.

Lead predictive modeling projects from conception through production and monitoring, develop reusable data science pipelines, evaluate features, and guide a team of data scientists. The role partners with senior leaders to shape data science strategy, improve modeling practices, and deliver commercially valuable solutions for insurance pricing.

Lead strategic market-modeling projects from discovery through live pricing implementation. Develop and improve advanced statistical and machine-learning models, ensure model governance and fair customer outcomes, and collaborate with pricing, underwriting, data, and ML engineering teams. The role also involves autonomous project management, coaching junior colleagues, communicating complex analysis clearly, and identifying opportunities to improve model accuracy, competitiveness, profitability, and growth.

Leads end-to-end transformation initiatives within Motor Claims, coordinating cross-functional teams from concept and journey design through technical delivery and operational adoption. The role owns planning, governance, issue resolution, testing, stakeholder influence, business requirements, and success measures while using digital tools to improve customer and business outcomes in a regulated insurance environment.

Lead commercial execution for third-party claims, driving data-led trading improvements, managing supplier contracts and commercial performance, mitigating risk, and coaching junior team members to optimise indemnity spend.

Leads the development, deployment, governance, and optimisation of motor insurance risk pricing models and strategies. Oversees statistical and machine learning modelling, pricing performance monitoring, regulatory compliance, and end-to-end pricing initiatives. Partners with underwriting, finance, retail, and analytics teams while communicating recommendations to senior leadership. Manages and develops pricing managers and analysts, providing technical guidance, coaching, and career support.

The Java Developer will create new features for policy administration and claims handling, while also integrating new systems and documenting work according to standards.

Design and develop scalable email design systems, responsive email templates, reusable components, patterns, and documentation for CRM, lifecycle, promotional, service, and transactional communications. Ensure work follows brand standards, accessibility requirements, email client constraints, and modern design-system practices. Collaborate with stakeholders and cross-functional teams while applying expertise in Figma, visual design, HTML email considerations, and CRM or marketing automation platforms.

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 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.

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.

The Pricing Manager will optimize and develop pricing strategies using data analysis, ensure compliance, and provide insights to management.

Lead BAU and strategic pricing implementation projects: gather requirements, design optimized solutions, develop and test pricing algorithms (Python/SQL), manage pre-release activities, document pipelines, provide data-driven insights, mentor and recruit pricing engineers, and drive process improvements.

Lead end-to-end pricing analysis and deployment for alternative pricing; explore new datasets, propose pricing changes, monitor performance metrics, and support junior analysts. Innovate pricing solutions using SQL and Python to improve risk assessment and profitability in UK motor insurance.