6 of 6 Propensity Modelling Jobs in the UK

company's future. As a Data Scientist, you will: Design and build advanced machine learning models focused on: User behaviour prediction Churn and propensity modelling Develop a scalable "model factory" capable of generating bespoke models per client Work with complex behavioural event data from mobile applications Collaborate directly … machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work ...

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 ...

strategies. Key Responsibilities Develop and maintain revenue opportunity (rSAM) models to identify growth opportunities across the customer base. Build and deploy predictive models including propensity models, customer segmentation, forecasting, and customer lifetime value modelling . Conduct business analysis to identify performance gaps and recommend improvements. Deliver customer … Experience building and deploying revenue-generating data science models . Experience with Python and modern data platforms such as Databricks . Knowledge of predictive modelling techniques , including propensity modelling, clustering, survival analysis, and forecasting. Experience translating complex analytics into clear business insights for senior stakeholders. Strong problem ...

month contract - inside IR35 - PAYE - Paid weekly via Principle HR Hybrid: Reading (50% onsite) + potential for extension What you'll work on Propensity modelling and predictive analytics Customer segmentation and lifetime value modelling Revenue forecasting and performance analysis Turning complex data into clear business insights What ...

optimize lifetime value Collaborate with data engineering teams to productionize data pipelines and drive scalable solutions Automate model refreshes and account prioritization processes Build propensity models to drive sales campaigns using predictive modelling techniques. What You Will Bring: 5+ years of SQL experience for querying, cleansing, integrating … essential Experience with Databricks and Python is desirable Proven experience of building, testing, evaluating, and improving revenue-generating data science models Knowledge of propensity modeling techniques and other modeling techniques would be beneficial Proven experience translating complex analytics into understandable insights for senior collaborators is essential Strong problem-solving ...

frameworks. Work in cloud environments, deploying models within google/meta ads Your Skills and Experience • Strong SQL capabilities • Practical knowledge of MMM, LTV modelling, and predictive or propensity modelling. • A background in delivering long‐term analytics or modelling projects with clear commercial impact. • Experience with attribution ...