Senior Lead Data Scientist

Wells Fargo

. Lead the design, development, and deployment of Agentic AI and NLP/ML models for various consumer-facing applications .

Posted 10/2/2026full-timeUnited StatesSenior💰 $185,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading Agentic AI projects, including large language models and Generative AI frameworks, while ensuring compliance with regulatory requirements. Proficient in developing AI solutions that enhance customer experience and operational efficiency.

Highest-signal resume keywords

Agentic AI Project LeadershipGenerative AI FrameworksNLP TechniquesPython ProficiencyFinancial Services Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalyticsMachine LearningDeep LearningStatistical AnalysisFull Stack Agentic AI Skills

Soft Skills

MentorshipCollaborationCommunication

Tools & Technologies

PythonPySparkTensorFlowPyTorchGoogle Cloud Platform

Industry Keywords

Financial ServicesConsumer BankingLendingWealth ManagementAsset ManagementRegulatory Compliance

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPySparkPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Lead the design, development, and deployment of Agentic AI and NLP/ML models for various consumer-facing applications
Translate business problems into technical solutions using 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
Lead model development for projects/programs and guide a team of data scientists
Develop solutions including virtual assistants, content generation, and agentic frameworks to improve employee/customer experience, drive operational efficiencies, and mitigate risks

Requirements

What you’ll need

7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of: 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, including leading GenAI projects from conception to production
Strong full stack agentic AI skills
Strong background in GenAI/NLP, machine learning, deep learning, and statistical analysis
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

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
Incentive opportunities may be available