Senior GenAI Data Scientist

Wells Fargo is seeking a Senior Gen AI Data Scientist role as part of the Consumer Model Development Center. 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.

In this role, you will:

• Lead the design, development, and deployment of GenAI and NLP 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

• 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science, * Demonstrated expertise in Generative AI, 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) or Vertex AI

• Strong background in GenAi/NLP, machine learning, deep learning, and statistical analysis 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

• Strong communication and presentation skills with the ability to translate complex technical concepts to non-technical stakeholders

• Strong full stack data science skills

• A track record of published research or patents in AI/ML, * Ability to travel up to 10% of the time

• This position will require onsite presence at one of the locations listed below in a hybrid work schedule