# Data Science Consultant at Wells Fargo

Wells Fargo is hiring a Data Science Consultant in Bengaluru, India. Level rates it Little AI ●○○○; you can [apply on Wells Fargo](https://jobsbylevel.com/go/ed744fda-1da4-4b8a-b41f-a29478411a2f?utm_medium=ai-agent).

AI Level 1, AI centrality 12 out of 100. Bengaluru, India.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 1 (score 12 out of 100)
- Location: Bengaluru, India
- Posted: October 30, 2026
- Apply: https://jobsbylevel.com/go/ed744fda-1da4-4b8a-b41f-a29478411a2f?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-science-consultant-at-wells-fargo-e9784c

## Description

About this role: Wells Fargo is seeking a Data Science Consultant. We are seeking a highly skilled and talented individual who will be part of an agile group of professionals working across businesses and functions to provide deep analysis and strategic solutions that enable existing and new businesses to grow and expand. Specifically, we are looking for someone with strong analytical acumen and the ability to define hypotheses and assumptions, outline data requirements, gather and analyze data, and apply business P&L levers (revenue, cost, margin, etc.) to derive insights and refine strategies. 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 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; exercise independent judgment while developing expertise in analytical 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 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. Required Qualifications: 2+ years of data science experience, or equivalent demonstrated through one or a combination of the following: 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. Desired Qualifications: 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. Job Expectations: Languages: SQL, Python, SAS/R, PySpark. BI Tools: Tableau, Power BI, Excel. Good knowledge of conducting strategic analyses using customer

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-science-consultant-at-wells-fargo-e9784c

Source: https://jobsbylevel.com/jobs/data-science-consultant-at-wells-fargo-e9784c

## Cite this page

Level. https://jobsbylevel.com/jobs/data-science-consultant-at-wells-fargo-e9784c.

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