8 of 8 Propensity Modelling Jobs in the UK

doing Designing and delivering accurate, timely data selections for marketing, communications, engagement and fundraising across different channels Using advanced analytical techniques, including segmentation, propensity modelling and predictive analytics, to optimise audiences and activity Creating, maintaining and improving reports and dashboards that present complex information clearly and provide actionable … Technical expertise in data analysis, manipulation and visualisation using SQL, FastStats and Power BI Experience applying advanced analytics to large, complex datasets, including segmentation, propensity modelling and predictive analytics Strong attention to detail and a clear commitment to data accuracy and quality Effective communication skills, with the ability ...

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 ...

data and analytics organisation to recruit a Data Scientist into its growing Data Science team. The business combines proprietary data, analytical expertise and advanced modelling capabilities to help organisations better understand their customers, predict behaviours and make more informed decisions. The Role As a Data Scientist, you will develop … implement predictive models to solve a range of client challenges, with a particular focus on propensity modelling, customer segmentation and behavioural analytics. Working alongside industry specialists, project managers and data analysts, you will be involved throughout the project lifecycle, from understanding client requirements and exploring data through ...

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 ...

Looking to broaden your data science experience across multiple industries? This is an opportunity to join a specialist analytics consultancy delivering end-to-end modelling projects for well-known organisations across sectors. You'll combine hands-on data science with stakeholder engagement, working on projects that have real commercial … impact. The Company They are a growing data and analytics consultancy with a strong focus on predictive modelling and customer analytics. With a collaborative team of experienced data professionals, they deliver advanced solutions using modern cloud and data platforms. Their project-based environment offers excellent exposure to a wide ...

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 ...

advocacy across the customer base. Continuously optimise existing programmes to improve retention and ecosystem growth (attach, lead-pass, upsell). Embed AI, data and propensity models to develop proactive churn-prevention interventions. Partner with CX Design, CX Operations, Digital Experiences and Analytics to implement retention programmes. Work closely with ...

range of credit models in the business and take on a challenging role which will give you excellent exposure and experience in the credit modelling space. Day to Day the Lead Data Scientist will: Build a new Data Warehouse Build out a new set of credit model Work across … current range of credit models within the business, including scorecards, propensity models, and IFRS9 models Develop challenger models to improve and enhance the modelling suite Monitor and report on these models, taking oversight across the modelling processLead Data Scientists should have: 5 years of Data Science experience ...