11 of 11 Propensity Modelling Jobs in the UK

Senior Data Scientist - Propensity & Market Modelling The role A globally recognised technology company is growing its education segmen t - and data is at the heart of it. We need a hybrid Data Scientist who can build propensity models, size market opportunities, and engineer the pipelines to make … leadership and drive sales strategy. What you'll be doing Building an opportunity sizing model across K12, higher ed, and institutional markets Extending existing propensity models for the education segment Integrating third-party data sources into scalable, production-grade pipelines Presenting insights to senior commercial stakeholders What you need ...

data pipelines, incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs. You will also combine EDU rSAM outputs with advanced propensity modelling techniques to optimise education-focused sales motions and accelerate customer growth opportunities. Ultimately, you will deliver high-impact strategic insights on market sizing and customer … propensity trends to senior leadership, enabling robust, data-driven decision-making and long-term commercial planning. Skills & Experience 5+ years’ advanced SQL experience, with a strong track record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments. Strong Python skills for data manipulation, statistical ...

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 ...

structures and consortium purchasing behaviours. Build scalable end-to-end data pipelines incorporating customer attributes, behavioural signals and predictive model outputs. Develop and enhance propensity models to optimise customer acquisition and education-focused sales strategies. Deliver strategic insights and market opportunity analysis to senior leadership, supporting commercial planning … skills for data manipulation, statistical analysis and predictive modelling. Proven experience developing and optimising predictive analytics or revenue-driving data science models. Experience with propensity modelling or customer growth modelling would be highly beneficial. Strong stakeholder engagement skills with the ability to communicate complex insights clearly ...

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 ...

intersection of Data Science, Sales, Marketing, and Strategy, translating complex data into actionable insights that directly impact revenue growth. Key Responsibilities Market Opportunity & Revenue Modelling Develop models to quantify market opportunity (e.g. TAM/SAM) and identify whitespace across global segments Analyse customer and market data to uncover untapped … revenue potential Deliver insights to support strategic planning and growth initiatives Customer & Growth Analytics Build and deploy propensity models to improve acquisition, upsell, and retention Develop customer segmentation frameworks to enhance targeting and campaign effectiveness Partner with commercial teams to optimise go-to-market strategies and sales performance Data ...

level Data Scientist role focused on developing and deploying customer-focused machine learning models. Projects include: Customer segmentation Customer Lifetime Value (CLTV) modelling Demand forecasting Propensity modelling Targeted promotions and campaign optimisation Data Science initiatives linked to a major new loyalty programme The team are still early ...

within the Data Science team , working closely with Product Managers, Data Analysts, and subject-matter experts. This is a hands-on modelling role with strong client interaction , where you'll take problems from discovery through to delivery - combining technical expertise with commercial thinking. What you'll be doing Build … predictive models (often propensity modelling/scoring models ) to solve real customer and business problems Work directly with clients to understand challenges, run discovery sessions, and shape analytical approaches Develop and refine models, including training, testing, and optimisation Lead rapid prototyping and proof-of-concept work using Databricks ...

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 ...

Have Python Revenue Management or Pricing Optimisation experience Hospitality, entertainment, travel, retail or ecommerce background Experience with experimentation, A/B testing or propensity modelling This is an excellent opportunity to join a high-profile commercial analytics function and play a key role in shaping pricing and customer ...

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 ...