7 of 7 Remote/Hybrid Propensity Modelling Jobs in London

transformation towards a subscription-led model, with Data Science becoming a critical part of future growth. What you'll be working on Subscription propensity modelling Churn prediction and retention analytics Customer segmentation and personalisation Dynamic pricing and offer optimisation Uplift modelling and causal inference Experimentation frameworks … theory Experience working with large-scale customer datasets Background in subscription, consumer, media, gaming, e-commerce, fintech or similar environments Experience with recommendation systems, propensity modelling, retention, personalisation or monetisation challenges would be particularly valuable. Founding hire into a growing Data Science capability Huge influence over future direction ...

business spending, together. Please note: About the role Growth Intelligence owns the commercial data layer that powers Pleo's GTM engine — acquisition, retention, propensity modelling, and customer health. The team supports RevOps, Customer Experience, Customer Success, and senior commercial leadership with the data and models they need ...

payback rather than pieces mailed. Strong analytical judgement. You design test cells and holdouts, read results critically, and understand response and propensity modelling well enough to brief analysts, challenge their work and turn it into mailing decisions. Experience managing suppliers: tendering, negotiating, setting SLAs and keeping several partners … Source and buy prospect data from bureaus and brokers, and combine it with our first-party data. Direct the analysts building the response and propensity models that decide who we mail, with what offer and when. Work with risk analysts to shape offers around eligibility and lifetime value. Campaigns ...

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. ...

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 ...

marketing, with at least 2–3 years owning a channel or function end-to-end* Hands-on with data: you personally build response/propensity models and write the SQL/Python to source, clean and join the data behind them* Track record scaling a measurable acquisition or retention … attribution* A commercial communicator who can earn the trust of finance, data, product and engineering* Demonstrable use of AI in your workflow (analysis, creative, modelling, automation)**Desirable:*** Experience in financial services, regulated or other consumer categories where offers and eligibility matter* Experience standing up a data pipeline or enrichment ...