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# Senior Data Science Consultant

- **Company:** Wells Fargo
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $119,000.0 - $187,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Data Presentation, R (Programming Language), Python (Programming Language), Microsoft PowerPoint, SQL Databases, Information Technology
- **Published:** September 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2b64ec1775a7f04c

## About the Role

* 4+ 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

Desired Qualifications:

 * Master's degree (MBA, MS, or equivalent) in Analytics, Data Science, Business, or related discipline.
 * 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.

## Description

Wells Fargo is seeking a Senior Data Science Consultant responsible for leveraging advanced data analytics to solve complex business challenges and influence enterprise-wide strategies.

In this role, you will:

 * 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 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.


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