Principal Data Scientist, Payments Intelligence

About this role

About The Team/Role
We are looking for a highly entrepreneurial Principal Data Scientist with deep payments expertise to help define and build the next generation of intelligent payment products. This individual will combine hands-on data science, machine learning, payment-domain expertise, and strong product instincts to identify high-value opportunities hidden within corporate payments data and turn them into production-ready intelligence. This is not a traditional analytics or reporting role. The successful candidate will start with ambiguous business problems, explore data, form hypotheses, build models and signals, and partner with Product and Engineering to turn insights into scalable capabilities. The role offers near-greenfield opportunity and end-to-end ownership within Corporate Payments, with a focus on revenue growth and measurable business value.


The initial focus includes exploring opportunities such as BIN routing optimization, where small improvements across high transaction volumes may create significant net benefit, as well as supplier onboarding, customer acquisition, and identifying suppliers that already accept card payments and could be connected to WEX customers. Over time, this work can help establish a trusted intelligence foundation for future AI agents and agentic payment experiences.


What You’ll Do

• Discover high-value payment opportunities by combining deep payments knowledge with exploratory data science and machine learning.
• Use corporate payments data to identify opportunities for revenue growth, improved payment economics, supplier onboarding, and new customer acquisition; identify additional data that could unlock further analysis.
• Build intelligent payment data products that move beyond dashboards to predictions, recommendations, optimization, and decisioning.
• Develop models and signals related to merchant and supplier behavior, payment acceptance, authorization performance, BIN/interchange optimization,...