26 to 30 of 30 Propensity Modelling Jobs in London

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 ...