Data Scientist

• 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.
• 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.
• Stay informed about regulatory changes, technological advancements, and model risk management processes to ensure the technology stack meets all compliance requirements.
• Research and integrate new data assets from different sources into Experian's ML and AI platform.
• Develop and assess analytic tools developed internally and externally.
• Gather feedback from internal and external clients to guide new product development, feature prioritization, and product evolution of tools and capabilities supported by the Ascend Platform.

Data Scientist – Model Risk Management

Data Scientist I, Real World Data Science

Data Scientist II

Data Scientist

Junior Data Scientist

Senior Data Scientist, Product Growth