First Central Insurance Management Ltd
Haywards Heath, Sussex
At 1st Central, everything starts with our people. As one of the UK's leading motor and home insurers, we use smart technology, data and great service to make insurance fast, fair and simple for over 1.4 million customers. We're proud to create an environment where people feel supported, trusted and able to grow - whether that's developing new skills, taking on fresh challenges or making a real impact every day. If you're looking for a role where you can make a difference, we'd love to hear from you. We're looking for a Lead Price Comparison Data Analyst to join us on a 12-month Fixed Term Contract. You'll turn complex data from price comparison websites into actionable insights and compelling stories that drive business decisions, while leading the development and evolution of our Growth-Led Customer Segmentation framework. In this pivotal role, you'll partner with cross-functional teams, across marketing, pricing, digital, product, and trading to uncover opportunities, enhance customer journeys, and fuel growth. Your work won't just live in dashboard, you'll shape strategy, influence direction, and make a tangible difference to performance. You'll be the vital link between data and decision-making, bringing stories to life through trends, patterns, and sharp analysis. Whether you're engaging technical experts or non-technical stakeholders, you'll make the complex simple, the data meaningful, and the insights impossible to ignore. We're big on flexible hybrid working. Our teams are based across Haywards Heath (West Sussex) and Salford Quays (Manchester). We primarily work from home but value collaboration, so we come together in person to keep ideas flowing, typically once or twice a quarter. Prefer being in the office more often? That works for us too. Core skills we're looking for to succeed in the role: Data Storytelling & Insight Generation: Ability to translate complex data into compelling narratives and actionable business insights. Analytical Mindset & Problem Solving: Passion for analysing and transforming data to help solve real business problems. Industry Price Comparison Expertise: Proven experience in data analysis or data storytelling with a focus on motor or home insurance price comparison data. Data Tools: Experience in SQL, DataBricks, Python and Power BI is advantageous alongside strong capability in manipulating large datasets. Stakeholder Management & Influencing: Ability to influence and support stakeholders, confidently managing expectations in a dynamic environment. Communication & Documentation: Strong verbal and written skills, with the ability to create clear, well-structured, and maintainable project documentation and analysis. What's involved You'll be responsible for analysing, optimising and transforming price comparison data into clear, engaging narratives that supports new and existing initiatives. You'll support the Pricing teams to understand and optimise price comparison data to enhance pricing models and related projects. Capture requirements, understand data pipelines which support our retail and technical pricing functions and enable key price comparison data to be tested, optimised and used in the most efficient way. You'll support business teams with understanding customer behaviour through our growth-led customer segmentation framework, supporting AB test plans and analysing results while optimising segments to meet business objectives. You'll help develop and support the PCW data roadmap while tracking benefits / uplift from the price comparison data roadmap across the Pricing & Proposition pillar at First Central. You'll review and provide commercial benefit analysis of any new price comparison data for the business, and support central data teams with ingestion and testing. You'll present segmentation data findings and insights to senior leadership and cross-functional teams, driving awareness of customer trends and recommending actionable changes to business strategies. You'll comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times. You'll ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times. You'll participate in annual staff appraisal, staff development and in-service training activities in line with the Commercial Data Competency Framework. Experience & knowledge Experience & knowledge Extensive experience working in data analysis or data storytelling roles, analysing motor or home insurance price comparison data Extensive experience coding T-SQL and manipulating large datasets Experience in DataBricks, Python and Power BI advantageous Knowledge of customer segmentation frameworks advantageous Skills Good communication skills, both verbal and written. Able to create, clearly structure and maintain documentation of projects Ability to decompose complex data into compelling narratives and business insights Passion for analysing and transforming data which allows users to solve business problems Understanding of a service-based approach in delivering assets for use by other teams Ability to influence and support stakeholders, and confidently manage expectations in a dynamic environment Appreciation of importance of attention to detail Behaviours You're always collaborating you place team success over personal success, and you enjoy working in an open, collaborative environment. You demonstrate responsible ownership: when you see something not working, you'll flag it and be part of the solution. You seek continuous improvement: you're always developing new skills and insights, while exploring ways to do things better. You're mindful of balance: you're conscious of your own health and that of others. You think carefully about how best to focus your efforts, knowing when to push yourself to reach a goal. Ready to join us? We're looking for talented people who want to make a real impact for our customers, colleagues and business.
At 1st Central, everything starts with our people. As one of the UK's leading motor and home insurers, we use smart technology, data and great service to make insurance fast, fair and simple for over 1.4 million customers. We're proud to create an environment where people feel supported, trusted and able to grow - whether that's developing new skills, taking on fresh challenges or making a real impact every day. If you're looking for a role where you can make a difference, we'd love to hear from you. We're looking for a Lead Price Comparison Data Analyst to join us on a 12-month Fixed Term Contract. You'll turn complex data from price comparison websites into actionable insights and compelling stories that drive business decisions, while leading the development and evolution of our Growth-Led Customer Segmentation framework. In this pivotal role, you'll partner with cross-functional teams, across marketing, pricing, digital, product, and trading to uncover opportunities, enhance customer journeys, and fuel growth. Your work won't just live in dashboard, you'll shape strategy, influence direction, and make a tangible difference to performance. You'll be the vital link between data and decision-making, bringing stories to life through trends, patterns, and sharp analysis. Whether you're engaging technical experts or non-technical stakeholders, you'll make the complex simple, the data meaningful, and the insights impossible to ignore. We're big on flexible hybrid working. Our teams are based across Haywards Heath (West Sussex) and Salford Quays (Manchester). We primarily work from home but value collaboration, so we come together in person to keep ideas flowing, typically once or twice a quarter. Prefer being in the office more often? That works for us too. Core skills we're looking for to succeed in the role: Data Storytelling & Insight Generation: Ability to translate complex data into compelling narratives and actionable business insights. Analytical Mindset & Problem Solving: Passion for analysing and transforming data to help solve real business problems. Industry Price Comparison Expertise: Proven experience in data analysis or data storytelling with a focus on motor or home insurance price comparison data. Data Tools: Experience in SQL, DataBricks, Python and Power BI is advantageous alongside strong capability in manipulating large datasets. Stakeholder Management & Influencing: Ability to influence and support stakeholders, confidently managing expectations in a dynamic environment. Communication & Documentation: Strong verbal and written skills, with the ability to create clear, well-structured, and maintainable project documentation and analysis. What's involved You'll be responsible for analysing, optimising and transforming price comparison data into clear, engaging narratives that supports new and existing initiatives. You'll support the Pricing teams to understand and optimise price comparison data to enhance pricing models and related projects. Capture requirements, understand data pipelines which support our retail and technical pricing functions and enable key price comparison data to be tested, optimised and used in the most efficient way. You'll support business teams with understanding customer behaviour through our growth-led customer segmentation framework, supporting AB test plans and analysing results while optimising segments to meet business objectives. You'll help develop and support the PCW data roadmap while tracking benefits / uplift from the price comparison data roadmap across the Pricing & Proposition pillar at First Central. You'll review and provide commercial benefit analysis of any new price comparison data for the business, and support central data teams with ingestion and testing. You'll present segmentation data findings and insights to senior leadership and cross-functional teams, driving awareness of customer trends and recommending actionable changes to business strategies. You'll comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times. You'll ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times. You'll participate in annual staff appraisal, staff development and in-service training activities in line with the Commercial Data Competency Framework. Experience & knowledge Experience & knowledge Extensive experience working in data analysis or data storytelling roles, analysing motor or home insurance price comparison data Extensive experience coding T-SQL and manipulating large datasets Experience in DataBricks, Python and Power BI advantageous Knowledge of customer segmentation frameworks advantageous Skills Good communication skills, both verbal and written. Able to create, clearly structure and maintain documentation of projects Ability to decompose complex data into compelling narratives and business insights Passion for analysing and transforming data which allows users to solve business problems Understanding of a service-based approach in delivering assets for use by other teams Ability to influence and support stakeholders, and confidently manage expectations in a dynamic environment Appreciation of importance of attention to detail Behaviours You're always collaborating you place team success over personal success, and you enjoy working in an open, collaborative environment. You demonstrate responsible ownership: when you see something not working, you'll flag it and be part of the solution. You seek continuous improvement: you're always developing new skills and insights, while exploring ways to do things better. You're mindful of balance: you're conscious of your own health and that of others. You think carefully about how best to focus your efforts, knowing when to push yourself to reach a goal. Ready to join us? We're looking for talented people who want to make a real impact for our customers, colleagues and business.
Doist
Manchester, Lancashire
About the Incubator for AI (i.AI) The Incubator for AI (i.AI) is a high agency technical unit within the UK government, focused on pioneering transformative AI applications for the public sector. About the role Applied AI Engineers of all experience levels are needed to build products that leverage state of the art methods to solve real world problems for the public sector. Responsibilities Rapidly prototype AI solutions to test hypotheses and de risk new ideas, designing and developing products that use the latest models. Train, scaffold and adapt models in applied settings, implementing rigorous evaluation methodologies and defining metrics for real world performance (accuracy, robustness, latency, cost, fairness). Stay up to date with recent advances in AI, assess applicability to products, and iterate on models based on experimental results, user feedback and production observations. Translate ambiguous product and government problems into well defined AI tasks; work closely with Product Managers to define technical architectures and implement them. Select appropriate modelling approaches (classical ML, deep learning, foundation models, prompting, fine tuning) based on data, constraints and desired outcomes. Qualifications Proven experience rapidly developing and shipping AI products or models in fast paced environments. Experience building benchmarks and datasets to train/evaluate AI systems or agents in production settings. Experience with AI infrastructure (model deployment, optimisation, data processing) and cloud platforms (AWS, Azure or GCP). Hands on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures and algorithms. Engineering excellence - writing high quality, maintainable code and an open source or research publishing track record. Master's degree or PhD in Computer Science, Machine Learning, Statistics or related field, or equivalent industry experience. Ability to work in agile, user centred environments with an entrepreneurial mindset and ability to navigate ambiguity. Experience Levels Candidates at all levels are considered. Senior candidates should additionally demonstrate deep expertise at a frontier lab, technical ownership of production grade AI systems, mentoring experience, and the ability to identify high value opportunities and mitigate technical, ethical and safety risks. Benefits Career defining projects with significant impact. Access to frontier models and ample compute. Extensive operational, product, strategy and design support. Collaboration with experts across national security, policy, AI research and adjacent sciences. Personal growth opportunities, ownership of important products early, and a supportive mission driven culture. Learning and development support: paid leave, annual stipends, conference funding. Contract: 24 month fixed term with hybrid working and pay equivalent equipment stipends. Generous leave: 25 days plus one additional day per year of service, plus 39 weeks full pay parental leave. Pension: employer contributes 28.97% of base salary. Other benefits: discounts for cycling, dental insurance, donations and gym memberships. Salary Annual salaries range from £85,000 to £145,000, consisting of a base salary plus a technical allowance. Salary level depends on role scope and experience. Selection Process Applicants must successfully complete UK Government SC clearance (sponsorable) and generally meet residency requirements. The selection involves a short initial conversation, a technical take home test, and subsequent interviews with technical and senior team members. Diversity and Inclusion The Civil Service is committed to attracting, retaining and investing in talent wherever it is found. All candidates are encouraged to apply.
About the Incubator for AI (i.AI) The Incubator for AI (i.AI) is a high agency technical unit within the UK government, focused on pioneering transformative AI applications for the public sector. About the role Applied AI Engineers of all experience levels are needed to build products that leverage state of the art methods to solve real world problems for the public sector. Responsibilities Rapidly prototype AI solutions to test hypotheses and de risk new ideas, designing and developing products that use the latest models. Train, scaffold and adapt models in applied settings, implementing rigorous evaluation methodologies and defining metrics for real world performance (accuracy, robustness, latency, cost, fairness). Stay up to date with recent advances in AI, assess applicability to products, and iterate on models based on experimental results, user feedback and production observations. Translate ambiguous product and government problems into well defined AI tasks; work closely with Product Managers to define technical architectures and implement them. Select appropriate modelling approaches (classical ML, deep learning, foundation models, prompting, fine tuning) based on data, constraints and desired outcomes. Qualifications Proven experience rapidly developing and shipping AI products or models in fast paced environments. Experience building benchmarks and datasets to train/evaluate AI systems or agents in production settings. Experience with AI infrastructure (model deployment, optimisation, data processing) and cloud platforms (AWS, Azure or GCP). Hands on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures and algorithms. Engineering excellence - writing high quality, maintainable code and an open source or research publishing track record. Master's degree or PhD in Computer Science, Machine Learning, Statistics or related field, or equivalent industry experience. Ability to work in agile, user centred environments with an entrepreneurial mindset and ability to navigate ambiguity. Experience Levels Candidates at all levels are considered. Senior candidates should additionally demonstrate deep expertise at a frontier lab, technical ownership of production grade AI systems, mentoring experience, and the ability to identify high value opportunities and mitigate technical, ethical and safety risks. Benefits Career defining projects with significant impact. Access to frontier models and ample compute. Extensive operational, product, strategy and design support. Collaboration with experts across national security, policy, AI research and adjacent sciences. Personal growth opportunities, ownership of important products early, and a supportive mission driven culture. Learning and development support: paid leave, annual stipends, conference funding. Contract: 24 month fixed term with hybrid working and pay equivalent equipment stipends. Generous leave: 25 days plus one additional day per year of service, plus 39 weeks full pay parental leave. Pension: employer contributes 28.97% of base salary. Other benefits: discounts for cycling, dental insurance, donations and gym memberships. Salary Annual salaries range from £85,000 to £145,000, consisting of a base salary plus a technical allowance. Salary level depends on role scope and experience. Selection Process Applicants must successfully complete UK Government SC clearance (sponsorable) and generally meet residency requirements. The selection involves a short initial conversation, a technical take home test, and subsequent interviews with technical and senior team members. Diversity and Inclusion The Civil Service is committed to attracting, retaining and investing in talent wherever it is found. All candidates are encouraged to apply.