5 of 5 Propensity Modelling Jobs in the UK

rapidly expanding team and a strong track record of industry recognition, they partner with major consumer brands to solve complex measurement, forecasting, and modelling challenges. Their culture is collaborative, modern, and driven by delivering high-quality work that genuinely moves the needle for clients. As they scale, they … engineering, and technology. You will: * Lead experimentation and measurement initiatives including incrementality testing, geo-based studies, brand lift approaches, and causal inference. * Own advanced modelling projects such as MMM, LTV modelling, propensity scoring, and predictive forecasting. * Deploy models into cloud environments and integrate into advertising platforms including ...

working with an early-stage technology company looking for a Lead Data Scientist to play a key role in the development of its predictive modelling and machine learning capabilities. This is an opportunity to join at an early stage and have a significant influence on both the product … direction of the business. The Opportunity As the Lead Data Scientist, you'll take ownership of the machine learning and predictive modelling capability at the heart of the business. Working closely with experienced founders and industry experts, you'll design and build scalable forecasting systems that continuously generate, deploy ...

cross functional, pod based environment Drive experimentation through robust AB testing and funnel analysis to improve conversion and engagement Support recommendation systems and propensity models to predict customer behaviour and purchase likelihood Analyse customer journeys, drop offs and lifecycle behaviour to optimise in app and push notification experiences Translate … strong Python skills, with Python central to day to day analysis Proven experience with experimentation, AB testing and causal analysis Exposure to propensity modelling or recommendation based use cases A commercial mindset with the ability to link analysis to business outcomes Experience working closely with product and engineering ...

commercial outcomes. Working closely with commercial, product, analytics and engineering teams, you will apply data science to areas such as customer behaviour, forecasting, segmentation, propensity modelling, churn, pricing and optimisation. You will help shape how data science is delivered across the organisation, setting standards for modelling, measurement ...

commercial environment Developed Next Best Action/recommendation systems to drive customer engagement and value Delivered customer segmentation models (e.g. clustering, behavioural segmentation, lifecycle modelling) Strong experience in time series analysis and forecasting (e.g. demand, revenue, customer behaviour trends) Worked end-to-end in production data science environments … foundation in statistics, probability, linear algebra, and applied mathematics Experience delivering models such as: Churn prediction models Customer segmentation frameworks Next Best Action/propensity models Time series forecasting models About You MSc, PhD, or equivalent experience in a highly quantitative discipline (e.g. Mathematics, Statistics, Physics, Computer Science, Data ...