12 of 12 Propensity Modelling Jobs in the UK

Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data … Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer ...

Senior Data Scientist - Propensity modelling and Causal inference London hybrid Up to £100,000 This is an opportunity to join a highly established, product led organisation where data plays a central role in shaping customer strategy. The focus of the role is on moving beyond prediction into causal … experience and long term value. The Role Work within the Customer Lifetime Value team, focusing on causal inference and incrementality Apply techniques such as propensity modelling, propensity score matching and Double Machine Learning Use counterfactual approaches to understand the true impact of customer actions Measure incrementality across ...

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 ...

productionise scalable end-to-end data pipelines incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs. Combine the EDU rSAM with advanced propensity modelling techniques to optimise education-focused sales motions and accelerate customer growth opportunities. Deliver high-impact strategic insights on market opportunity sizing and customer … propensity trends to senior leadership, enabling data-driven decision-making and long-term commercial planning. Skills Looking for: 5+ years of advanced SQL expertise, with a strong track record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments. Strong Python capabilities for data manipulation ...

causal inference to distinguish genuine impact from correlation? Have you applied propensity methods or counterfactual modelling to customer or product data? Would you like to help move an established Data Science team from prediction into causality? A major global consumer technology business is hiring a Data Scientist into … what would have happened if that action had not occurred? Responsibilities • Build causal solutions to quantify the incremental value of customer behaviours • Apply propensity scoring, propensity score matching, Double Machine Learning and counterfactual methods • Move existing customer value capabilities from prediction towards causality and incrementality • Build and productionise ...

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 ...

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 ...

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 ...

broken, you fix it. What You Will Do Decisioning & Data Science Design and implement NBA/NBO decisioning frameworks - eligibility rules, suppression logic, propensity score integration, offer prioritisation, and arbitration Operationalise propensity models, uplift models, CLV scores, and churn predictions into live decisioning frameworks Use value-based decisioning … decisioning solution - Pega CDH, Salesforce Marketing Cloud, Adobe Target/AEM/Campaign, Braze, Iterable, or purpose-built solutions Strong working knowledge of predictive modelling for decisioning: propensity, churn, CLV, uplift, and incrementality Experience designing statistically valid champion/challenger and multivariant tests and holdout methodologies Ability ...

with headcount expansion planned over the next year. The team manages the full data lifecycle — from ingestion and governance through to reporting and predictive modelling, supporting departments across the organisation, including finance, digital, marketing, and operations. It’s a collaborative environment that values innovation, technical credibility, and strong stakeholder … Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity modelling. Collaborate cross-functionally with commercial, finance, and digital teams to ensure insights translate into measurable business outcomes. Build, mentor, and grow the internal data ...

with headcount expansion planned over the next year. The team manages the full data lifecycle — from ingestion and governance through to reporting and predictive modelling, supporting departments across the organisation, including finance, digital, marketing, and operations. It’s a collaborative environment that values innovation, technical credibility, and strong stakeholder … Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity modelling. Collaborate cross-functionally with commercial, finance, and digital teams to ensure insights translate into measurable business outcomes. Build, mentor, and grow the internal data ...

journey framework, trigger architecture, AI workflows & decision trees • Commercial - pipeline acceleration, lead quality improvements, revenue attribution & personalisation performance Functional Responsibilities • You will own ICP modelling, persona development, behaviour modelling, lead scoring, intent scoring and opportunity scoring - building the intelligence that powers every downstream campaign. • You will bring … customer profile schema, bringing together firmographic, contact, behavioural, financial and commercial data alongside intent signals. • You will develop ICP models, buying committee models, sector propensity models, lookalike audiences and win propensity models to sharpen targeting across the business. • You will design AI-driven orchestration systems where journeys never ...