Data Science Consultant

Overview

Wells Fargo is seeking a Data Science Consultant to provide deep analysis and strategic solutions that help existing and new businesses grow and expand.

What you'll do

• Participate in low- to moderately complex initiatives by using data-driven, advanced analytical and statistical techniques to identify trends, diagnose problems, and build actionable insights and recommendations.
• Review and analyze business, operational and 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.
• 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 consistency through data cleaning and validation.
• Interpret and analyze data using advanced analytical modeling methods and programming techniques to identify patterns that lead to recommendations, solve business problems and influence business decisions and strategies.

What you'll need

• 2+ 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.
• 2+ years of experience in Data Analytics, Insight Generation, and/or Data Science.
• 2+ years of experience in large banks or financial services organizations, translating business problems into actionable insights, with demonstrated success in delivering strategic recommendations and business impact.

Nice to have

• Bachelor's degree or higher in a quantitative field such as Applied Mathematics, Statistics, Engineering, Finance, Economics, Econometrics, Computer Science, or Business/Social and Behavioral Sciences with a quantitative emphasis.
• Experience in data analysis, data extraction/manipulation and data loading processes using SQL, Teradata, database structures and data warehouses.
• Strong proficiency in SQL, Python and PySpark for data analysis and utilization of analytical libraries.
• Effective communication skills, with the ability to convey results, concepts, challenges and recommendations to partners, peers and non-technical business audiences through executive-ready presentations.
• Experience with statistics and foundational statistical modeling techniques, including regression, decision trees, random forests, clustering and segmentation.
• Strong storytelling capabilities to develop innovative analytical approaches and data visualizations that effectively communicate insights to target audiences.
• Self-motivated with the ability to identify opportunities and proactively propose solutions to business partners.
• Languages: SQL, Python, SAS/R, PySpark. BI tools: Tableau, Power BI, Excel.
• Good knowledge of conducting strategic analyses using customer profiling, business segmentation, heuristics, inferential statistics and RFM analysis.
• Experience working with machine learning techniques such as segmentation, regression, decision trees, forecasting and clustering.
• Financial services industry experience.
• Strong written, verbal and interpersonal communication skills.

Details

• Posting end date: 1 Nov 2026.