5 of 5 Propensity Modelling Jobs in the South East

performance gaps and recommend improvements. • Partner with senior stakeholders to align analytical solutions with strategic growth priorities. • Build and deploy predictive models, including propensity models, segmentation models, and forecasting solutions. • Perform customer segmentation and channel segmentation to optimize engagement strategies and lifetime value. • Design models for customer lifetime value … analytical outputs into clear, actionable insights for business leaders and sales teams. Tools & Technologies • SQL (data querying, cleansing, integration, and summarization) • Python • Databricks • Predictive modelling and machine learning techniques • Customer segmentation and propensity modelling Key Skills • Advanced data analysis and statistical modelling • Predictive modelling ...

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 ...

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 ...