Agentic AI Senior Lead Data Scientist

About the role

Wells Fargo is seeking an Agentic AI Senior Lead Data Scientist role as part of the Consumer Model Development CoE. This role is pivotal in leading the development and implementation of cutting-edge Generative AI (GenAI) and Natural Language Processing (NLP) solutions within the Consumer LOB's - Banking, Lending, and WIM divisions. The successful candidate will lead model development for projects/programs and guide a team of data scientists and collaborate with business and technology partners to drive end-to-end solution design and development for implementing virtual assistants, content generation, agentic frameworks, and others for improving employee/customer experience, driving operational efficiencies, and mitigating risks.

Responsibilities

• Lead the design, development, and deployment of Agentic AI and NLP/ML models for various consumer-facing applications
• Translate business problems into technical solutions, leveraging advanced GenAI/NLP/ML methodologies
• Collaborate with cross-functional teams to integrate AI solutions into business processes, ensuring scalability and robustness
• Provide mentorship and technical guidance to junior data scientists
• Engage with business stakeholders to communicate insights, model outcomes, and the strategic value of AI initiatives
• Ensure compliance with regulatory requirements and internal risk management policies

Required Qualifications

• 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
• Demonstrated expertise in leading Agentic AI projects/programs, including large language models, Generative AI frameworks, and advanced NLP techniques which includes leading