Senior Lead Data Science Consultant

Wells Fargo

Senior Lead Data Science Consultant at Wells Fargo developing advanced analytics for Business Banking. Collaborating with teams to enhance customer and banker insights across various strategic initiatives.

Posted 7/8/2026full-timeCharlotte • Arizona, Minnesota, North Carolina • 🇺🇸 United StatesSenior💰 $159,000 - $279,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data analysis and statistical modeling to drive strategic business decisions, ensuring alignment with governance standards and effective communication of complex concepts to diverse audiences.

Highest-signal resume keywords

Data Science ExperienceStatistical ModelingData StorytellingAnalytical Framework DesignMaster's Degree in Quantitative Discipline

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical ModelingAnalytical Framework DesignComplex Data InterpretationData Visualization

Soft Skills

CommunicationCollaborationPresentation SkillsProblem-Solving

Tools & Technologies

PowerPoint

Industry Keywords

Governance StandardsCustomer CoverageBanker CapacityClient OutcomesCross-Functional Collaboration

About the role

Key responsibilities & impact

Analyze large, complex datasets to identify trends, risks, and opportunities related to customer coverage, banker capacity, and client outcomes.
Design repeatable analytical frameworks to support strategic initiatives, governance reviews, and leadership reporting.
Ensure analytical outputs are accurate, auditable, and aligned with enterprise data and governance standards.
Execute highly complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains.
Partner with sales leadership teams to inform placement strategy and customer alignment decisions.
Support enterprise initiatives related to customer assignment, servicing models, and coverage optimization.
Translate analytical findings into clear business recommendations, highlighting tradeoffs and implications.
Build executive‑ready presentations (PowerPoint and verbal) for senior leaders, including SVPs and executive committees.
Clearly communicate complex analytical concepts to non‑technical audiences using data storytelling and visualizations.
Respond to ad‑hoc leadership requests with concise, high‑impact analyses and recommendations.
Collaborate with cross‑functional partners (Analytics, Banking, Risk, Operations, Technology).
Support governance processes by ensuring analytical outputs meet internal standards and documentation requirements.
Act as a trusted analytics advisor to stakeholders across the organization.

Requirements

What you’ll need

7+ years of data science 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

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