Senior Data Scientist - Alternative Data & AFS Solutions (Non-Prime Lending)
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Responsibilities:
- Lead custom analytics and modeling engagements from scoping through delivery and ongoing support.
- Develop credit strategies and ML models (underwriting, line assignment, pricing, early warning, collections).
- Partner with clients to build end‑to‑end credit strategies that balance approvals, losses, efficiency, and customer experience.
Qualifications:
- 7+ years in credit risk analytics, data science, or advanced analytics, with experience in non‑prime or near‑prime lending.
- Proficiency in Python (Pandas, NumPy, scikit‑learn, XGBoost/LightGBM) for feature engineering, modeling, and analysis.
- Advanced SQL experience working with complex, and imperfect datasets.
Benefits:
- Great compensation package
- Core benefits including medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remote, hybrid or in-office
Experian
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. As a FTSE 100 Index company listed on the London Stock Exchange, they have a team of 22,500 people across 32 countries.