5 of 5 Remote/Hybrid Propensity Modelling Jobs in London

learning models and scalable ML pipelines. Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management. Apply advanced statistical modelling and experimentation techniques to solve complex business and marketing challenges. Partner with technical and non-technical stakeholders to translate data requirements into effective solutions. … approaches. Your Skills & Experience Strong experience in data science, machine learning, artificial intelligence, and advanced analytics. Expertise in Python and SQL for data analysis, modelling, and production-grade solutions. Experience designing, deploying, and maintaining machine learning models in cloud environments. Strong knowledge of Google Cloud Platform, with exposure ...

track record of delivering production-ready Machine Learning solutions.* You have experience across customer, marketing or commercial Data Science, including recommendation systems, experimentation, pricing, propensity modelling, uplift modelling or similar use cases.* You're confident communicating complex technical concepts to both technical and non-technical audiences, helping ...

Strong SQL experience (5+ years) working with complex datasets Experience building and deploying data science/predictive models Experience with customer segmentation, forecasting, or propensity modelling Strong stakeholder communication skills Python and Databricks experience (desirable) Contract Details £500 per day (Inside IR35) – London/Hybrid working – Initial ...

Stand up inbound chat across high-intent surfaces (pricing, product, upgrade points) and optimise for speed and conversion Design and run outbound programs using propensity modelling to engage high-intent accounts not yet converting Own the full funnel from first touch to conversion, with clear accountability for pipeline ...

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 ...