Lead 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 Lead Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI knowledge and experience, and analytic consulting skills to lead client and internal engagements for Experian's new global product launch and early client success efforts.

Responsibilities:

• 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 platform.
• 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.
• Lead client analytic consulting engagements with financial services clients, including pre-sales and demos, training, and client success activities to maximize client value.
• Leverage Gen AI and model development tools to create and maintain new model document templates to help clients meet Model Risk Management regulatory requirements.
• Stay informed about regulatory changes, technological advancements, and model risk management processes and controls 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 prioritisation, and product evolution of tools and capabilities supported by the Ascend Platform.

Experience and Skills:

• Data science background with development expertise in Python (preferred) or SAS.
• Experience developing models and creating model documentation for Model Risk Management teams in credit or fraud risk and decisioning.
• Understand model risk management regulatory environment and governance requirements for model documentation, validation, and monitoring.
• Experience building analytical tools and providing product and analytic requirements in a regulatory environment.
• A track record for managing complex analytical technology projects.
• The ability to present to all levels of management within Experian and clients.

Additional Information:

• Benefits package includes hybrid working, great compensation package and discretionary bonus plan.
• Core benefits include pension, Bupa healthcare, sharesave scheme and more.
• 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.
• Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering.
• Experian is proud to be an Equal Opportunity and Affirmative Action employer.