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Big Data • Insurance • Analytics
Assess the profitability of the motor insurance portfolio through claims development, pricing strength, inflation, product and segment analysis, and large-loss modelling. Investigate actual versus expected performance, combine actuarial views into profitability recommendations, and translate findings into commercial pricing and trading insights. The role also supports process automation, governance, cross-functional collaboration, and analyst coaching.
Big Data • Insurance • Analytics
Configure, maintain, test, and support Workday HCM and Payroll across HR, payroll, reward, talent, learning, recruiting, time, and absence functions. Translate business requirements into system solutions, deliver enhancements and project changes, support HR and payroll cycles, troubleshoot issues, assist with UAT and releases, maintain documentation, and identify continuous improvement opportunities.
Big Data • Insurance • Analytics
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.
Big Data • Insurance • Analytics
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.
Big Data • Insurance • Analytics
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.
Big Data • Insurance • Analytics
Lead the architecture, development, and operation of machine learning platforms supporting feature engineering, experimentation, model training, deployment, monitoring, and retraining. Partner with data scientists, engineers, and business stakeholders to deliver reliable, scalable predictive models. Establish standards for CI/CD, observability, governance, reproducibility, versioning, infrastructure automation, and cloud-native ML workloads while improving platform efficiency and technical quality.
Big Data • Insurance • Analytics
Lead complex telematics pricing investigations, root-cause analyses, and analytical projects using diverse datasets. Build and enhance pricing analysis tools, collaborate with developers to embed them, communicate findings to technical and business stakeholders, and coordinate pricing-change implementation and post-live validation. Support junior analysts and help strengthen analytics capabilities across the YouDrive pricing team.
Big Data • Insurance • Analytics
Owns personal-loan pricing and trading strategies, using SQL and analytical tools to optimize rates, improve automation, monitor performance, and support financial plans. The role collaborates with modelling teams, analyzes multiple data sources, provides insights to senior leadership, ensures regulatory compliance and fair customer outcomes, and acts as a commercial subject-matter expert while developing supporting analysts.
Big Data • Insurance • Analytics
Manage strategic relationships with suppliers across the motor claims supply chain. Lead supplier meetings, governance, contract risk management, reporting, regulatory adherence, and remedial actions. Drive procurement and commercial initiatives, improve supply chain efficiency, identify innovation opportunities, and support better customer outcomes through data, technology, and AI. The role also requires strong stakeholder engagement and supplier performance management.
Big Data • Insurance • Analytics
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.
Big Data • Insurance • Analytics
Own UK corporate tax compliance, including corporate tax returns, Pillar II calculations, R&D tax credits, interest restriction calculations, reporting, and statutory disclosures. Support tax advisory projects, tax authority enquiries, risk mitigation, process automation, and collaboration with internal teams, auditors, and external advisers. Manage and develop a tax graduate while providing commercial tax advice in a fast-paced insurance business.
Big Data • Insurance • Analytics
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.
Big Data • Insurance • Analytics
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.
Big Data • Insurance • Analytics
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.
