About this role:

Wells Fargo is seeking a Data Science Consultant.

In this role, you will:

• Participate in low to moderately complex initiatives by utilizing data-driven, advanced analytical and statistical techniques to identify trends, diagnose problems, and build actionable insights or recommendations
• Review and analyze business, operational, technical assignments, or challenges that require research, evaluation, and selection of alternatives to convert data into meaningful insights and recommendations
• Exercise independent judgment to guide medium risk business hypothesis generation
• Present recommendations and insights for resolving low to moderately complex business needs and problems; exercise independent judgment while developing an expertise in analytic capabilities
• Collaborate and consult with functional colleagues, internal partners, and stakeholders to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns
• Conduct low to moderately complex predictive analytics to build actionable insights and recommendations
• Design and apply algorithms to mine large sets of structured and unstructured data from various sources
• Ensure data completeness, accuracy, and uniformity through cleaning and validation
• Interpret and analyze data, using advanced analytics modeling methods and programming, to isolate patterns that lead to recommendations to solve problems and influence business decisions and strategies

Required Qualifications:

• 2+ 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:

• Experience working within the Home Lending or mortgage domain, with an understanding of related business processes, metrics, and operating models.
• Experience developing or supporting capacity forecasting, productivity, or workforce optimization models.
• Experience working in call center or contact center analytics, including volume forecasting, staffing models, or performance analytics.
• Familiarity with applying analytics to operational decision‑making in areas such as fulfillment, servicing, or customer support.
• Prior experience partnering closely with business stakeholders to influence outcomes through analytics‑driven insights.

Job Expectations:

• Demonstrate strong ownership of assigned analytics deliverables, ensuring timely, high‑quality outputs that meet defined business requirements and analytical standards.
• Apply sound analytical judgment and problem‑solving skills to independently progress work, escalate risks appropriately, and adapt approaches as new information emerges.
• Partner effectively with peers and stakeholders by proactively communicating progress, insights, and recommendations in a clear and concise manner.
• Maintain high standards of data quality, documentation, and reproducibility across analyses, models, and reporting assets.
• Continuously build technical and domain expertise by learning new tools, techniques, and business concepts, and applying them to improve analytical outcomes.