- BestEgg
- Wilmington, DE
- Full-Time
- 54 days ago
- $85,000–$100,000
Product Data Scientist.
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Product Data Scientist: our view in 3 lines...
- The Role:This role is for a product-focused data scientist in financial services who works on AI and machine learning solutions for lending and financial health products.
- The Person:The person will identify business problems, turn insights into recommendations, drive test and learn plans, and independently deploy AI and ML solutions into production.
- Requirements:The role calls for a strong background in ML and analytics, plus the ability to develop AI/ML stack solutions and present recommendations.
About the role
Best Egg, now part of Barclays, is a market-leading, tech-enabled financial platform helping people build financial confidence through innovative lending solutions and financial health tools. As a Barclays company, we combine the agility and customer focus of a fintech with the global reach, stability, and purpose of a leading financial institution—working together to create a better financial future for our customers and communities.
At Best Egg, you’ll find a culture grounded in our core values—putting people first, creating clarity, delivering with excellence —enhanced by Barclays’ commitment to integrity, inclusion, and long-term impact. Together, we empower our colleagues to challenge, innovate, and take ownership while making a meaningful difference in people’s financial lives.
With the strength of Barclays behind us, we offer expanded opportunities for growth, development, and career mobility across a global organization—while continuing to build the products and experiences that make Best Egg unique.
We’re looking for collaborative, curious problem-solvers who are excited to make an impact and grow with us.
We’re proud to be an equal opportunity employer committed to building a diverse and inclusive team.
We are seeking a Product Data Scientist who can identify business problems, translate insights into actionable recommendations, develop AI/ML stack solutions, drive test/learn plans, present recommendations, and independently deploy these solutions into production. The ideal candidate has a high sense of urgency, a creative mind, great communication skills, and a strong background in ML and analytics.

