Jobs at Hastings Direct

Develop and support predictive machine-learning models for insurance risk assessment, pricing, and underwriting. Integrate models into production, monitor performance, maintain reproducible modelling pipelines, and evaluate new data features. The role requires Python, SQL, version control, and experience delivering commercially valuable data science solutions. Experience with Azure Machine Learning, Snowflake, and general insurance is desirable.

Leads predictive modeling projects from conception through production and monitoring, develops reusable data science pipelines, evaluates features, and supports pricing decisions. The role manages and mentors data scientists, reviews technical work, establishes modeling and software development standards, and collaborates with senior leaders to shape data science strategy. Strong expertise in machine learning, Python, SQL, Git, and commercial data science delivery is required, with insurance and cloud ML experience preferred.

Leads strategic market-modeling projects from discovery through implementation for live insurance pricing. Develops and improves statistical and machine learning models, ensures governance and fair customer outcomes, and collaborates with pricing, underwriting, data, and ML engineering teams. The role owns complex analytical problems, supports model deployment, mentors junior colleagues, and communicates technical recommendations to varied audiences.

Leads end-to-end transformation initiatives within Motor Claims, from strategy and journey design through technical delivery and operational adoption. Manages cross-functional teams, governance, planning, issue resolution, and performance tracking. Shapes business requirements and success measures with operations, commercial, and supplier teams while promoting test-and-learn practices and sustainable process improvement in a regulated insurance environment.

Own and execute the third-party (TPPD) claims commercial strategy to optimise claims spend and indemnity savings. Drive data-led performance improvements, manage supplier contracts and commercial relationships, mitigate risk and ensure business continuity, and coach junior team members while delivering measurable trading outcomes.

Leads risk pricing strategy, model development, deployment, governance, and performance optimization for a UK motor insurance portfolio. Oversees GLM and machine learning pricing models, ensures regulatory compliance and auditability, translates analytical findings for senior stakeholders, and manages pricing initiatives from concept through deployment. Partners with underwriting, finance, retail, and engineering teams while developing a team of pricing managers and analysts.

Design and maintain a scalable email design system, including reusable components, patterns, documentation, and responsive templates for CRM, lifecycle, promotional, service, and transactional communications. Ensure work aligns with brand standards, accessibility requirements, and email client constraints. Collaborate with stakeholders and cross-functional teams while applying Figma-based design system workflows and considering HTML email development and marketing automation platforms.

Owns end-to-end digital experimentation and conversion optimisation, including roadmap management, hypothesis development, test briefing, stakeholder sign-off, measurement, analysis, and recommendations. Conducts competitor research and supports proposition and MVP delivery. Improves insight-driven ideation, prioritisation, UX execution, QA, reporting, and communications. Requires strong ecommerce optimisation experience, commercial analysis, user research, web analytics, UX, content, and hands-on A/B testing expertise.

Investigate and process motor insurance contractual breach and indemnity claims, including MIB and peril-specific losses. Assess evidence, apply insurance contract and regulatory principles, determine indemnity decisions, identify recovery opportunities, communicate outcomes, manage complex claims, and collaborate with business stakeholders. The role also uses predictive analytics to identify higher-risk claims and contributes to process improvements and optimal financial outcomes.

Leads a team of risk analysts within the telematics pricing function, identifying opportunities to expand or correct the insurance footprint. The role analyzes loss ratios and performance KPIs, develops underwriting risk controls, shapes portfolio growth strategies, and provides recommendations to stakeholders. It also involves coaching analysts, challenging processes, and ensuring fair customer outcomes while delivering profitable growth.

Lead a team of Risk Pricing Analysts to develop, improve and implement risk pricing models, integrate new data and analytical techniques, run pricing projects to meet profit and growth targets, mentor analysts, and ensure fair customer outcomes and regulatory training compliance.

The Risk Pricing Manager will develop and optimize risk pricing strategies, focusing on multicar households to drive profitable growth and customer loyalty, while collaborating cross-functionally.

Build and maintain machine learning pipelines for market pricing, productionize Python models and data science workflows, and improve testing, release, monitoring, versioning, and governance. Investigate data, model, and pipeline issues; automate manual processes; and ensure workflows are traceable, auditable, documented, and reliable. Collaborate with pricing, data science, data engineering, ML engineering, governance, and business stakeholders in a regulated environment.

The Loans Pricing Manager develops and optimizes pricing strategies, drives efficiencies, collaborates on pricing factors, and provides insights for performance monitoring and compliance.

The Java Developer will design, code, and implement features for insurance policy and claims handling systems, ensuring compliance with regulatory changes. Responsibilities include testing, debugging, and collaborating with stakeholders while using a test-driven approach to software development.

Lead pricing implementation and BAU delivery for the rating engine: gather requirements, design and build pricing algorithms in Python/SQL, run testing and pre-release activities, provide data-driven insights, document pipelines, and mentor pricing engineers while driving process and team development.

Lead analysis and development of insurance pricing solutions using new and existing data. Own end-to-end delivery of pricing changes, monitor performance metrics, identify trends, extract value from datasets, and support the development of junior analysts.