Data Modeling Expert

About the Role The Fraud Analytics & Commercialization team at Experian seeks a hands-on Data Modeling Expert to join the Fraud Analytics Consulting team as a founding member of the TelCo-focused fraud analytics consortium. This role requires investigative curiosity, an impact-driven mindset, and the ability to translate ambiguous client questions into clear analytical plans executed with confidence, thriving in unstructured environments where the path forward isn't predefined. What You'll Do

• Work directly with TelCo clients to conduct investigative analytics, identify emerging fraud trends, and develop insights that only cross-industry consortium data can reveal.
• Co-build custom fraud detection models with client teams, guiding them through Experian's proprietary data, analytics environment, and fraud detection methodologies.
• Train and onboard clients on the platform, helping them build familiarity and confidence with Experian's analytics environment.
• Translate ambiguous client questions and needs into well-defined hypotheses and analytical plans, then execute them independently and communicate findings clearly.
• Define and implement a repeatable, scalable proof-of-value process that demonstrates the consortium's value to prospective and existing clients.
• Build reusable tools, templates, and analytical frameworks that enable consistent, efficient delivery as the consortium grows.
• Build confidence and credibility with client analysts, client executives, and internal Experian product and sales partners.
• Collaborate with Experian's product team as an expert user, providing direct input to influence the development roadmap. What We're Looking For
• 6+ years of experience in data science, analytics, or a related field.
• Degree (undergraduate or graduate) in Statistics, Econometrics, Electrical Engineering, or another quantitative discipline, or an equivalent combination of education and experience that shows quantitative reasoning and analytical ability.
• Deep expertise in analytics and machine learning, with hands-on experience across the full modeling lifecycle; preference for experience in fraud, credit, or TelCo analytics.
• Investigative analytics mindset - experienced at identifying patterns, forming hypotheses, and drawing meaningful conclusions from large-scale datasets.
• Demonstrated capability to operate independently, translate ambiguous client needs into well-defined hypotheses, and execute clear analytical plans from start to finish.
• Experience working directly with clients or business partners in a consulting or advisory role, building confidence and credibility across technical and executive audiences.
• Experience designing or contributing to scalable analytical processes, tools, or frameworks.
• Strong Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas; familiarity with large-scale data processing frameworks and cloud platforms, especially Spark and AWS.
• Willingness to travel periodically for on-site client workshops and engagements. Compensation & Benefits
• Great compensation package and bonus plan.
• Core benefits including medical, dental, vision, and matching 401K.
• Flexible work environment, ability to work remote, hybrid or in-office.
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.
• Explore all our exciting benefits here: https://myexperianbenefits.com/.