6 of 6 Propensity Modelling Jobs in England

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 ...

Bridge hybrid, £65,000 plus benefits A great opportunity to take on a strategic Lead Data Analyst role where you will work across experimentation, modelling and BI projects, while shaping long term data strategy and supporting complex digital marketing programmes. The Company They are a high growth data … analytics, data science and engineering to drive measurable, sustainable growth for well known brands. Their work spans digital marketing data, advanced measurement and predictive modelling, with strong access to client datasets and a culture centred on technical excellence. The Role * Lead analytical work across experimentation, causal inference and incrementality ...

tools such as Google Analytics, AppsFlyer, HotJar, Contentsquare Practical experience of statistical approaches such as AB and multivariate testing, and predictive techniques such as propensity modelling or clustering is desirable Experience in creating data-led narratives and stories for delivery to different stakeholder groups Some management or mentoring ...

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 ...