Data Scientist - Model Risk Management

Our Experian Software Solution's Analytics Services Team supports analytic and generative AI products for decisioning, analytics, and fraud and identity globally. As a Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI experience, and analytic consulting skills to lead client and internal engagements. You will collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data (AWS) computing platform.

Lead client analytic consulting engagements with financial services clients, including pre-sales and demos, training, and client success activities to maximize client value. You will deliver presentations on analytic results to clients and end-users, translating complex findings into actionable insights. Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners to bring new innovative solutions to market that provide impact to Experian's broad client base. Use Gen AI and model development tools to develop new model document templates and strategies to help clients meet Model Risk Management regulatory requirements.