12 of 12 Propensity Modelling Jobs in the UK excluding London

development from day one. The Project Working within the insurance sector, you'll build scalable customer analytics solutions focused on: Customer segmentation and clustering Propensity modelling Forecasting models Insurance customer behaviour analysis Large-scale model development and delivery A key deliverable will be the creation of a primary … customer segmentation framework, including multiple sub-segmentations, alongside propensity models that support commercial decision-making. The project specifically focuses on motor and home insurance quote behaviour , so experience understanding insurance products, quote journeys and customer purchasing behaviour is essential. What You'll Be Doing Developing customer segmentation and clustering ...

bring:• Experience with Snowflake or similar cloud data warehouse platforms• Python development skills, particularly for data-driven applications• Exposure to customer segmentation, propensity modelling, or predictive analytics• Familiarity with SaaS, subscription, or recurring revenue business models• Experience with Power BI or other data visualisation tools• Understanding of data ...

bring: • Experience with Snowflake or similar cloud data warehouse platforms • Python development skills, particularly for data-driven applications • Exposure to customer segmentation, propensity modelling, or predictive analytics • Familiarity with SaaS, subscription, or recurring revenue business models • Experience with Power BI or other data visualisation tools • Understanding of data ...

continuing to invest in their Data Science capability and product innovation. The Role Build and deploy machine learning models across forecasting, customer segmentation, and propensity modelling Own projects across the full model lifecycle, from data exploration and feature engineering through to deployment and monitoring Partner with Product, Engineering … Strong commercial experience in Data Science and Machine Learning Advanced Python and SQL skills with experience building production-ready models Expertise across forecasting, predictive modelling, customer segmentation, and classification techniques Experience working with AI-assisted development tools such as GitHub Copilot, Claude, Codex, or similar to improve productivity ...

CDPs (Salesforce Data Cloud, Adobe Experience Platform, Treasure Data, mParticle), MDM, CRM, and data warehousing Familiar with analytical approaches used in customer strategy: segmentation, propensity modelling, next-best-action, attribution, and customer journey analytics — ability to interpret and apply, not necessarily build Knowledge of cloud data platforms (Azure ...

actionable business insights, this is an opportunity to make a tangible impact within a growing technology-led organisation. You'll combine analytical discovery, predictive modelling, and stakeholder collaboration to shape product strategy, improve customer outcomes, and influence key business decisions. THE COMPANY They are a growing organisation undergoing … usage patterns, conversion drop-offs, and areas for optimisation. Build predictive models focused on areas such as customer churn, engagement scoring, demand forecasting, and propensity modelling. Develop customer segmentation and behavioural cohorts to support targeted business initiatives. Translate complex business questions into structured analytical frameworks, hypotheses, and actionable recommendations. ...

professional. Strong analytical and problem-solving skills, including the ability to create clarity from ambiguous business questions. Advanced Python skills for data analysis and modelling, together with strong SQL capability. Practical experience applying statistical and data-science techniques to business problems, including several of forecasting, regression, classification, segmentation … propensity modelling. Sound understanding of statistical concepts, model evaluation, uncertainty, bias and the limitations of analytical approaches. Experience working with large or complex datasets and performing data discovery, validation and exploratory analysis. Excellent requirements-gathering, stakeholder-management and project-planning skills. Excellent written communication, with experience producing analytical papers ...

professional. Strong analytical and problem-solving skills, including the ability to create clarity from ambiguous business questions. Advanced Python skills for data analysis and modelling, together with strong SQL capability. Practical experience applying statistical and data-science techniques to business problems, including several of forecasting, regression, classification, segmentation … propensity modelling. Sound understanding of statistical concepts, model evaluation, uncertainty, bias and the limitations of analytical approaches. Experience working with large or complex datasets and performing data discovery, validation and exploratory analysis. Excellent requirements-gathering, stakeholder-management and project-planning skills. Excellent written communication, with experience producing analytical papers ...

professional. Strong analytical and problem-solving skills, including the ability to create clarity from ambiguous business questions. Advanced Python skills for data analysis and modelling, together with strong SQL capability. Practical experience applying statistical and data-science techniques to business problems, including several of forecasting, regression, classification, segmentation … propensity modelling. Sound understanding of statistical concepts, model evaluation, uncertainty, bias and the limitations of analytical approaches. Experience working with large or complex datasets and performing data discovery, validation and exploratory analysis. Excellent requirements-gathering, stakeholder-management and project-planning skills. Excellent written communication, with experience producing analytical papers ...

shape data-driven digital experiences across our direct-to-consumer products. You'll own the Product Analytics strategy, roadmap and delivery, using predictive modelling, experimentation, behavioural insights and AI-driven decisioning to optimise customer journeys, accelerate product innovation, personalisation, and maximise customer engagement, personalisation, retention and lifetime value. … with Product leadership to influence product strategy, prioritisation and roadmap decisions. Strong experience developing predictive models and analytical solutions such as Next Best Action, propensity models, recommendation engines or intelligent decisioning frameworks. Expertise in behavioural analytics, customer journey analysis, experimentation and A/B testing methodologies. Advanced SQL skills ...

professional. Strong analytical and problem-solving skills, including the ability to create clarity from ambiguous business questions. Advanced Python skills for data analysis and modelling, together with strong SQL capability. Practical experience applying statistical and data-science techniques to business problems, including several of forecasting, regression, classification, segmentation … propensity modelling. Sound understanding of statistical concepts, model evaluation, uncertainty, bias and the limitations of analytical approaches. Experience working with large or complex datasets and performing data discovery, validation and exploratory analysis. Excellent requirements-gathering, stakeholder-management and project-planning skills. Excellent written communication, with experience producing analytical papers ...

decision‐making. Strong expertise in developing and applying analytical frameworks and predictive models, including Customer Lifetime Value (LTV), retention, upsell, churn, customer profitability and propensity modelling. Advanced SQL skills and experience working with large, complex customer and commercial datasets. Strong track record of translating complex analysis into actionable insights ...