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Wells Fargo
CHARLOTTE, NC; 141753-NC-Three Wells Fargo Center, Charlotte; WILMINGTON, CA; SAN FRANCISCO, CA; WEST DES MOINES, IA; COLUMBUS, OH; IRVING, TX; MINNEAPOLIS, MN
Source: Wells Fargo careers · View original posting
From Wells Fargo's posting. “We” and “our” refer to the employer.
Wells Fargo is seeking 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.
Learn more about the career areas and lines of business at wellsfargojobs.com .
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 GenAI projects from conception to production
Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (GCP), Experience in the financial services industry, particularly within consumer banking, lending, wealth and asset management
Familiarity with regulatory and compliance considerations in AI model deployment
A track record of published research or patents in AI/ML
Ability to travel up to 10% of the time.
This position offers a hybrid work schedule.
Required locations listed.
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$185,000.00 - $300,000.00
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