Senior Data Science Consultant

Wells Fargo

. Develop and deliver advanced customer and banker placement analytics, including segmentation, portfolio optimization, performance analysis, and opportunity sizing .

Posted 9/28/2026full-timeUnited StatesSenior💰 $119,000 - $187,000 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 inform strategic decisions in banking and financial services. Proficient in translating complex analytical findings into actionable business recommendations and effective presentations for senior leadership.

Highest-signal resume keywords

Data Science ExperienceSQL ProficiencyPython ProficiencyStatistical ModelingCustomer Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical ModelingSegmentationPortfolio OptimizationPerformance AnalysisOpportunity SizingDashboard DevelopmentAnalytical Framework DesignData StorytellingRisk Analysis

Soft Skills

CommunicationCollaborationProblem-SolvingPresentation SkillsAdvisory Skills

Tools & Technologies

SQLPythonRPowerPointAnalytical Tools

Industry Keywords

BankingFinancial ServicesCustomer AnalyticsGovernanceCompliance

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop and deliver advanced customer and banker placement analytics, including segmentation, portfolio optimization, performance analysis, and opportunity sizing
Analyze large, complex datasets to identify trends, risks, and opportunities related to customer coverage, banker capacity, and client outcomes
Design repeatable analytical frameworks for strategic initiatives, governance reviews, and leadership reporting
Ensure analytical outputs are accurate, auditable, and aligned with enterprise data and governance standards
Execute complex analytical experiments and create innovative statistical models to solve abstract business problems
Inform placement strategy and customer alignment decisions with sales leadership teams
Support initiatives related to customer assignment, servicing models, and coverage optimization
Translate analytical findings into business recommendations, highlighting tradeoffs and implications
Build executive-ready PowerPoint presentations and deliver verbal briefings for senior leaders, including SVPs and executive committees
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 Analytics, Banking, Risk, Operations, and Technology partners
Support governance processes and documentation requirements
Act as a trusted analytics advisor to stakeholders across the organization

Requirements

What you’ll need

4+ years of data science experience, or equivalent demonstrated through work experience, training, military experience, or education
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Experience in banking, financial services, customer analytics, or coverage/placement models
Proficiency in SQL, Python, R, or similar analytical tools
Experience developing dashboards or standardized reporting for leadership
Familiarity with governance, risk, or compliance considerations in analytics
This position is not eligible for Visa sponsorship
Applicants must directly represent their own experiences during the recruiting and hiring process
Third-party recordings are prohibited unless authorized by Wells Fargo

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