About the job
Join Experian as a seasoned Senior Data Scientist within our Alternative Financial Services (AFS) division, focusing on the non-prime and near-prime lending sectors. In this role, you will craft tailored analytics, develop credit strategies, and create machine learning models leveraging both conventional and alternative data sources. This client-facing position demands a robust technical skill set and the capability to translate intricate analyses into actionable insights. You will report directly to the VP of Analytics Product Build, Innovation, and Scores.
In this exciting role, you will have the opportunity to:
- Lead bespoke analytics and modeling projects from inception to delivery and ongoing support.
- Create credit strategies and machine learning models for various applications, including underwriting, line assignment, pricing, early warning systems, and collections.
- Engineer features using alternative, transactional, and bureau data, focusing on metrics such as recency, frequency, volatility, trends, and behavioral indicators.
- Assess and incorporate third-party alternative data sources, including sub-prime bureaus, cash-flow data, telecom, utility, and specialty datasets.
- Collaborate with clients to devise comprehensive credit strategies that optimize approvals, mitigate losses, enhance efficiency, and improve customer experiences.
- Deliver concise, executive-ready insights, documentation, and strategic recommendations.
- Present findings directly to risk management leaders, analytics teams, and senior client partners.
- Support model implementation, monitoring, stability analysis, and ongoing enhancements.
- Engage cross-functionally with Product, Engineering, and Sales teams to ensure alignment of custom solutions with broader AFS capabilities.

