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 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.
Posting End Date:
1 Nov 2026
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.
Skills Required
- 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 and delivering strategic recommendations and business impact
- Bachelor's degree or higher in a quantitative field
- Experience with SQL, Teradata, database structures, and data warehouses for data analysis, extraction, manipulation, and loading
- Proficiency in SQL, Python, and PySpark
- Experience with statistical modeling techniques including regression, decision trees, random forests, clustering, and segmentation
- Experience developing data visualizations and communicating analytical insights to technical and non-technical audiences
- Strong written, verbal, and interpersonal communication skills
- Experience with SAS or R, Tableau, Power BI, and Excel
- Financial services industry experience
Wells Fargo Compensation & Benefits Highlights
-
Healthcare Strength — Health coverage beginning on day one for eligible employees, with medical, dental, vision, mental-health, and prescription benefits, is prominently described. This breadth and immediacy support a strong overall benefits foundation.
-
Retirement Support — A dollar-for-dollar 401(k) match on employee contributions up to 6% for eligible employees is emphasized as a core advantage. This reliable employer contribution meaningfully enhances total compensation.
-
Parental & Family Support — Paid parental leave of up to 16 weeks for primary caregivers, plus fertility, adoption, and surrogacy reimbursement, stands out. These programs indicate substantial support for family-building and caregiving needs.
Wells Fargo Insights
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”
Gallery
Wells Fargo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.