6 of 6 Permanent Propensity Modelling Jobs in London

data to understand audiences, inform fundraising decisions and generate genuinely actionable insight. You'll help develop areas such as audience profiling and segmentation, propensity modelling and lifetime value analysis, while ensuring existing reporting and data selections continue to be delivered effectively. The role would suit an experienced Insight … analysts, providing direction and helping develop the organisation's insight capability Move the function beyond reporting into more advanced analysis, including segmentation, audience profiling, propensity modelling and lifetime value Use tools such as SQL and Power BI to turn complex data into meaningful, actionable insight Work closely with ...

develop a team of Data Scientists while defining best practices across the function Design and deploy machine learning models across forecasting, customer segmentation, and propensity modelling Own end-to-end model development including feature engineering, validation, deployment, and monitoring Partner with Engineering and Product teams to build scalable ...

supporters. We are looking for a Business Intelligence Lead for Engagement who is, first and foremost, a strong analyst. Someone who's built propensity models, next best action logic, or lifetime value analysis, and who understands how to turn that thinking into segmentation, selections, and audience strategies that improve … team and shape how we understand our audiences, turning that understanding into action. What you will be doing Applying advanced analytical techniques e.g. propensity modelling and next best action, to understand audience behaviour and inform engagement and fundraising strategy Overseeing selections and segmentation for income and engagement activities ...

solved at both a tactical and strategic level. Experience delivering marketing analytics e.g., Marketing Mix Modeling , geo experiments, meta-analysis, audience segmentation and propensity modeling . Understanding of Bayesian approaches and modeling frameworks. Proven ability to generate practical solutions for marketing analytics problems and use results to drive business ...

ground up. This is a genuinely hands-on role where you'll have ownership of the full data science lifecycle - from defining the modelling approach and building predictive models through to creating scalable, repeatable and production-ready solutions. The initial focus will be on customer churn and complaint propensity , alongside forecasting and other predictive modelling opportunities. You'll be responsible for building the models, documenting the methodology and establishing the overall approach that can be embedded and scaled across the business. What we're looking for We're particularly interested in Data Scientists who have built churn ...

records are the same company: domain and firmographic matching, confidence scoring, and the merge/dedupe pipelines that keep Salesforce clean at scale. Modelling account hierarchy. Designing the organisation spine that links accounts to their parent, top operating parent and ultimate corporate parent. Building account sourcing pipelines. Turning market … havesExperience with GTM data vendors and tooling — ZoomInfo, Apollo, Clearbit, Clay, Crossbeam, Marketo, Census/Fivetran, Gong. Experience with territory design, account scoring, propensity models or ICP definition. Exposure to privacy and compliance considerations around contact data (GDPR, CCPA, consent management).BenefitsWe are a well treated bunch, with awesome ...