Senior Data Science Consultant, Wells Fargo

Wells Fargo

Location:
United States, Charlotte ▼
Minneapolis
Shoreview
West Des Moines

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

119000.00 - 206000.00 USD / Year

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Job Description:

Wells Fargo is seeking a Senior Data Science Consultant as part of the Wholesale Operations Data, Analytics and Reporting (DAR) team within Global Operations. Wholesale Operations is comprised of Corporate & Investment Banking (CIB) Operations, Commercial Banking (CB) Operations, and Wealth & Investment Management (WIM) Operations. The Wholesale Operations DAR team is focused on maturing the data and analytic solutions across these operational units to deliver improved intelligence and insights that dive operational optimizations. As the Senior Data Science Consultant, you will be responsible for owning and driving key work and initiatives across the Wholesale operations that aligns, transforms, and matures the Data and Analytic capabilities and output of Wholesale Operations.

Job Responsibility:

Lead or participate in moderately complex initiatives and deliverables by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact
Review and analyze moderately complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations
Independently analyze and resolve moderately complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities
Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that will resolve issues and achieve goals
may lead projects, teams, or serve as a mentor for lower-level staff
Execute analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies
Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels

Requirements:

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
Experience with Optimization Modeling: hands-on expertise in linear programming, mixed-integer programming, and heuristic algorithms to solve real-world business problems
Proficiency with Microsoft Fabric: including experience integrating data pipelines, leveraging OneLake, and building semantic models for scalable analytics
Advanced analytic toolsets such as Python (e.g., SciPy, Pyomo), R, SAS, or similar platforms for statistical modeling and machine learning
Experience working with cloud-based data platforms and modern BI tools (e.g., Power BI, Tableau) to visualize and communicate complex analytical results
Automation & Workflow Optimization: Ability to automate data pipelines and reporting processes using tools like Airflow, Alteryx, or scripting languages
Big Data & Cloud Platforms: Exposure to big data technologies (e.g., Hadoop, Spark) and cloud environments (e.g. GCP, AWS, Azure) commonly used in banking analytics
Exceptional Analytical Expertise: Proven ability to conduct deep business and operational analysis, translating complex data into actionable insights that drive strategic decision-making
Execution-Oriented Mindset: Demonstrates a strong bias for action with meticulous attention to detail and a commitment to delivering high-quality outcomes under tight deadlines
Executive Communication & Storytelling: Advanced skill in crafting compelling narratives for senior leadership, including the development of clear, visually engaging presentations and dashboards using tools such as Power BI and Tableau
Structured Thinking & Communication: Strong logical reasoning and problem-solving capabilities, paired with excellent verbal, written, and interpersonal communication skills
Collaborative Leadership: Ability to build strong partnerships across internal teams and stakeholders in a highly matrixed environment, fostering alignment and driving consensus on data-driven strategies
Operational Risk Acumen: Solid understanding of operational risk frameworks and how data science can be leveraged to identify, assess, and mitigate risk within financial institutions
Industry Experience: Demonstrated success in roles within Commercial Banking, Wealth & Investment Management (WIM), or Corporate & Investment Banking (CIB), with a strong grasp of industry-specific challenges and regulatory considerations
Proven experience in capacity modeling, including scenario planning, resource allocation, and demand forecasting across complex systems

What we offer:

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

Additional Information:

Job Posted:
October 09, 2025

Expiration:
October 14, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Data Science Consultant

Wells Fargo

Location:United States, Charlotte ▼MinneapolisShoreviewWest Des Moines

Category:IT - Software Development

Contract Type:Employment contract