26 to 39 of 39 Propensity Modelling Jobs in England

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 ...

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 ...

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 ...

Head of Performance Analytics - Modelling Full-time Employee Status: Regular Role Type: Hybrid Department: Analytics Schedule: Full Time Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness … 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 ...

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 ...

hands-on, high-impact role for someone who enjoys working close to the business, owns problems end-to-end, and can balance rigorous modelling with pragmatic delivery. **What you will do*** **Churn modelling** — Build, deploy, and iterate on customer churn prediction models. Identify leading indicators, segment at-risk … cohorts, and work with Customer Success on retention playbooks.* **Cross-sell & upsell** — Develop propensity models and next-best-action recommendations to help commercial teams prioritise accounts and product conversations.* **Revenue attribution & tracking** — Design attribution frameworks across marketing channels, sales motions, and product touchpoints. Build the data products that ...

econometrics models, how incrementality testing - from geo-based experiments to causal inference methods - isolates true causal lift, and how behavioral signals derived from clustering, propensity modeling, or sequence analysis can shape smarter audience strategies and campaign design. What sets you apart is the ability to architect the right measurement … effectiveness and inform budget allocation decisions Build and execute incrementality tests and translate results into concrete campaign recommendations Apply ML techniques such as segmentation, propensity modeling, and behavioral pattern recognition to identify customer response patterns and inform audience strategy and experiment design Partner with cross-functional teams to scope ...

models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. ...

earliest data hires. You'll work closely with the Head of Credit, Credit Risk Manager and CTO to build our modelling capability from the ground up — from scorecard development and underwriting automation to portfolio analytics and early warning systems as well as Customer Lifetime Values. This … things, building the infrastructure, and helping recruit the team around you as we grow. Key Responsibilities Build credit risk models - application scorecards, behavioural models, propensity models - across our SME lending products Create portfolio monitoring dashboards, MI packs, and early warning indicators for the credit and leadership teams Work with ...

EMEA ENT CSC. The CSC works at scale across a broad portfolio of Enterprise customers, using AI-first sales motions: leveraging data signals and propensity models to identify expansion opportunities and convert them into revenue — combining strategic depth with velocity and operating leverage. The mission is to help customers … workload migration, and expanding service footprint Maintain forecast accuracy and pipeline hygiene; run weekly deal inspection cadence Turn signal-based leads (usage patterns, service propensity, contract events) into qualified pipeline at velocity Go-to-Market Strategy Champion an AI-first approach to Enterprise selling: reimagining our way of working ...

support accurate, secure andpersonalised AI interactions. Design, build and maintainscalable machine learning training and inference pipelines usingDatabricks. Develop and productionisepredictive ML models for propensity scoring, next-best-actionrecommendations, churn prediction and cross-selling opportunities. Implement batch and real-timeinference solutions, optimising performance, latency and modelexplainability. Build and maintain AIevaluation … frameworks. Experience with LLM evaluationtechniques, LLM-as-a-judge, groundedness testing and hallucinationdetection. Familiarity with Snowflake,Kubernetes, Splunk, Confluence and Bitbucket. Experience buildingrecommendation engines, propensity models or next-best-action solutions. Knowledge of onlineexperimentation, A/B testing and feedback-driven model optimisation. Experience with modelgovernance, explainability, risk controls ...

SoundCloud listeners hear and see, how many, and when. We're replacing fixed rules with ML: contextual bandits and predictive models (churn risk, subscription propensity, user LTV) that set ad load for each listener in real time. The goal is more ad revenue without hurting retention … Engineering in a flat structure. Key Responsibilities: Own the ML roadmap for ad delivery. Take personalised ad serving (contextual bandits, churn and subscription‐propensity models) from experiment to production across markets, and decide what the team builds next. Own the production ML stack behind ad decisions: online model serving ...