- This role is responsible for delivering deep market and customer insights and driving the effective use of insights to enhance business performance and profitability.
- The job holder needs to be a highly competent communicator able to to drive business change and placing insights into the context of a wider business strategy.
- The role has large elements of hands-on data science delivering insights, models, and analysis using SAS, R, or similar analytical tools.
Role Responsibility:
- Increase customer lifetime value across the business through the effective use of insights
- Responsible for the delivery of key predictive and descriptive models, including Customer lifetime value models, and tenure-, spend-, and price models.
- Target customer identifications: Consumer and business acquisition segmentations, Broker segmentation
- Acquisition: Channel optimization, Broker optimization, Pricing elasticity, Marketing spend effectiveness
- Customer Base Management: Service- and channel preference models, Cross- and up-sell models
- Retention: Churn drivers, Best retention offer model, Individual retention pricing, Retention optimization.
- Identify and manage external partners for delivery of specialized data science services.
- Define and implement world-class data science practices to ensure that insights are timely, robust, repeatable, and trust-worthy
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