Expert Data Scientist, AI Fraud Applications
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Job Description
Overview
Experian's Fraud Analytics & Commercialization operates across four main functions. These include client engagement analytics, scalable and custom analytics for financial institutions, fraud analytics consulting, and solution integrity and enablement for production-ready platforms.
We are looking for an Expert Data Scientist to help develop analytics and AI solutions for financial services, e-commerce, and other data-rich digital businesses. You will combine data science fundamentals with exploration and experimentation.
You will work across Analytics, Product, and Engineering to identify opportunities, shape the data strategy needed to support them, develop and evaluate new approaches, and help move promising concepts from idea to prototype. This is an individual contributor position and you will report into the Sr. Manager of Fraud Analytics
What You'll Do
• Apply advanced statistical, machine-learning, and analytical techniques to complex business problems.
• Translate ambiguous business problems into structured hypotheses, experiments, models, and prototypes.
• Identify new opportunities where data science and new AI technologies can create value.
• Help shape data strategy for new analytics and AI capabilities by identifying the data, derived features, and data assets needed to support experimentation, development, and scalable solutions.
• Prototype and evaluate new approaches, comparing them with existing methods and identifying both strengths and failure modes.
• Develop evaluation criteria covering model or solution quality, reliability, value, operational practicality, and risk.
• Partner with Product, Engineering, and business teams to move promising analytical concepts toward practical applications.
• Stay current with new technologies, including generative and agentic AI, and evaluate their applicability to business problems.
• Share insights, mentor junior members of the team and help build a culture of experimentation, innovation, and learning.
Requirements
Department: Analytics
Function: Analyst
Experience Level: Mid-Senior Level