2 of 2 Permanent Propensity Modelling Jobs in the Thames Valley

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 ...

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 ...