Data Scientist

• Design and run experiments to understand product development and changes over time
• Model the impact of raw materials and production processes on final product characteristics
• Use data to support stock and inventory decisions
• Manage machine learning projects end-to-end, including problem framing, data exploration, model building, testing, and deployment
• Communicate approaches and results clearly to technical and non-technical stakeholders
• Deliver end-to-end machine learning models addressing production and product questions
• Produce experimental designs and analyses related to product development
• Provide data-driven insights supporting inventory and stock management decisions
• Document and communicate technical work to stakeholders

• Own the infrastructure and outcomes of models driving forecasting and strategy
• Build algorithms and pipelines to merge, manage and interrogate data for tailored reporting
• Design and run experiments to test hypotheses and improve forecasting
• Select, build and evaluate appropriate statistical and machine learning models
• Turn model output into clear, decision-ready reporting showing how customers and clients interact with the business
• Raise the modelling standard across the analytics team
• Work alongside AI while maintaining analytical rigour

Senior Data Scientist

• Lead complex data migration programmes across strategy, data quality, transformation, validation and cutover activities
• Own migration governance, delivery quality, risk management and stakeholder engagement across large transformation programmes
• Drive adoption of AI-enabled delivery approaches, automation and reusable accelerators
• Advise senior clients on migration strategy, data readiness and modernisation initiatives
• Lead and develop UK, offshore and client teams through collaboration, coaching and capability growth
• Support business development activities, including solution shaping, proposals, thought leadership and proposition development

Senior Manager, Data Transformation

• Own Lottie's analytics function end to end, including strategy and the analytics stack
• Maintain and improve Dataform, BigQuery, Fivetran, Hex, and Metabase
• Serve as the go-to person for data across the business
• Join trading meetings and translate business context into data priorities
• Turn complex analysis into clear recommendations for the C-level and board
• Align commercial, product, and finance stakeholders on priorities
• Build analytical models for marketplace supply and demand and care matching
• Establish analytics ways of working, data quality standards, and a culture of curiosity
• Champion AI-powered workflows and enable self-service data analytics
• Model supply and demand to optimize matching, pricing, and provider acquisition
• Build data products supporting partner decision-making
• Analyze product interactions, run experiments, and communicate the value proposition
• Partner with commercial and finance teams on growth, partner acquisition funnel optimization, and board reporting
• Improve data-informed decision-making across Lottie

Analytics Lead

• Apply quantitative analysis, data mining and data presentation to understand user interactions and inform product strategy
• Guide product teams in measuring meaningful metrics
• Initiate or help run A/B experiments to improve products
• Drive a unified company-wide understanding of user lifetime value and product-feature impact on profitability with the finance team
• Liaise with engineers to ensure the right data is collected for relevant business insights
• Work in cross-functional product squads with engineers, designers, marketers and product managers

• Design, configure and maintain clinical data systems and study databases.
• Develop programming solutions supporting data ingestion, validation, extraction and reporting activities.
• Create data review, risk management and analytical outputs that support study oversight.
• Translate business requirements into scalable clinical system solutions.
• Act as a technical lead across study builds and complex system enhancements.
• Support customer engagements and provide subject matter expertise on clinical data technologies.
• Ensure high-quality delivery through adherence to SDLC, validation and quality control processes.
• Mentor junior programmers and contribute to continuous improvement initiatives.

Senior Lead Clinical Data Science Programmer

• Lead predictive modelling projects from problem definition through development, validation, production integration and ongoing monitoring
• Master Hastings’ systems, processes and technology to maximise team effectiveness
• Identify, assess and prepare new data features, evaluating predictive value, stability, interpretability and customer pricing impact
• Build and promote reusable, maintainable and reproducible modelling tools, pipelines and development practices
• Lead a small team of data scientists and support their technical development
• Work with senior leaders to shape data science strategy and improve modelling capability, processes and ways of working
• Establish and contribute to best-practice standards for modelling, software development, testing, documentation and deployment
• Participate in recruitment screening, introductory and case study interview stages

• Assist in the design, development and deployment of predictive models for Hastings’ pricing activities
• Develop and support predictive models to assess insurance risk and inform pricing and underwriting decisions
• Contribute to integrating models into production systems
• Support ongoing model monitoring and maintenance
• Develop, maintain and improve reusable tools, pipelines and processes for efficient, reliable and reproducible modelling
• Follow agreed standards for coding, documentation, testing and model development
• Identify, assess and prepare new data features
• Evaluate feature predictive value, stability, interpretability and potential impact on customer pricing outcomes
• Participate in recruiter screening, hiring manager introduction and hiring team case-study interview

• Assist in the design, development and deployment of predictive models for market-leading pricing activities
• Develop and support predictive models to assess insurance risk and inform pricing and underwriting decisions
• Contribute to integrating models into production systems
• Support ongoing model monitoring and maintenance
• Develop, maintain and improve reusable tools, pipelines and processes for efficient, reliable and reproducible modelling
• Follow agreed standards for coding, documentation, testing and model development
• Identify, assess and prepare new data features
• Evaluate feature predictive value, stability, interpretability and potential impact on customer pricing outcomes
• Participate in recruiter screening, hiring manager introduction and hiring team case study interviews

• Lead high-impact strategic Market Modelling projects from discovery to implementation
• Own complex analytical problems and drive them through to delivery
• Provide specialist modelling support across Market Pricing teams
• Identify new opportunities within Market Pricing and improve model accuracy
• Develop, analyse and implement advanced statistical and machine learning models into live pricing
• Critically review market models for robustness and relevance
• Improve existing models through new features, data sources and analytical techniques
• Determine how market models should be combined to strengthen competitiveness while maintaining feasibility
• Advocate for data science and software development best practice
• Ensure governance of market models and tools, including documentation, code control and peer review
• Ensure fair and transparent customer outcomes in model development
• Collaborate with Market Pricing, Retail Pricing and Underwriting teams
• Work with Data and ML Engineering teams to deploy models and analytical solutions
• Develop best practice and new capability across Market Pricing
• Explain complex modelling work clearly and make practical recommendations
• Coach and mentor junior colleagues
• Manage projects autonomously