- The position will build scalable machine Learning / analytic capabilities to measure the efficacy of underwriting, conversion, data products and success activities and provide actionable insights toward optimization. This requires thought leadership with a focus on innovation.
- Drive the vision for ML and Analytics across product / functional verticals and define the execution path to achieve the vision
- Design and implement machine learning models for several use cases across the customer funnel, portfolio performance, collections, and new Data Products.
- Measure and validate performance of machine learning models
- Monitor and improve model performance
- Analyse massive amounts of data to provide insights
- Propose creative solutions to existing business challenges
- Present findings to business leaders internally and to partners
- Leverage best practices in machine learning and data engineering to develop scalable solutions
- Plan and direct data science / machine learning projects within the team
- Lead, mentor and grow data science teams focused on developing production-grade services and capabilities
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