Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Prepare end-to-end case stories: messy data, model choice, validation, and business impact. Expect coding/SQL, stats intuition, and questions on fairness, monitoring, and working with regulated banking data. Align examples to financial-services outcomes without inventing employer-specific processes.
Strong fit if you enjoy senior DS consulting inside a large regulated bank: translating messy business questions into governed models and clear recommendations for Wells Fargo stakeholders in India.
As a Senior Data Science Consultant at Wells Fargo Bank, expect client or internal stakeholder problem framing, banking data exploration, model design and validation, and clear readout of risk, credit, marketing, or ops use cases. Days mix analysis, code reviews, governance checks, and steering updates with business partners.
Priority skills for this title: Python/SQL, supervised and unsupervised modeling, experiment design, model risk awareness, stakeholder storytelling, and cloud or enterprise ML tooling. No certification list or costs are supplied for this role family.
No. The listing marks remote as off; location is India on-site or office-based as posted.
It is a major U.S. financial services company (WFC) serving tens of millions of customers worldwide; see Wikipedia.
No verified salary band or Glassdoor/Indeed-style ratings are in the provided data, so none are stated.
Website: wellsfargo.com
Wells Fargo & Company is an American multinational financial services company. The company operates in 35 countries and serves more than 70 million customers worldwide. It is a systemically important financial institution according to the Financial Stability Board, and is considered one of the "Big Four Banks" in the United States, alongside JPMorgan Chase, Bank of America, and Citigroup.
Public cache only — not an employee review.
Senior Data Science Consultant at Wells Fargo Bank - India About This Position The role of a Senior Data Science Consultant at Wells Fargo Business Analytics Team (Small Business Analytics Team) involves building and maintaining scalable analytical solutions, enabling data-driven decision-making, and developing primitive models. The primary goal is to reduce risk and improve business outcomes through the creation of robust data strategies that drive strategic business decisions. What You'll Do Develop and maintain advanced analytical models and tools for data-driven decision-making. Collaborate with cross-functional teams to identify key business problems and develop actionable insights from data. Create and implement scalable solutions that enhance the efficiency of data analysis processes. Ensure the accuracy, reliability, and security of all data used in analytical models. Contribute to the development of new methodologies and techniques for data science projects. What We're Looking For A minimum of 7 years of experience in data science or a related field, with at least 3 years in a senior role. Demonstrated expertise in statistical analysis, machine learning, and predictive modeling techniques. Strong proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis. A deep understanding of data management principles and best practices. Experience with big data technologies and tools (e.g., Hadoop, Spark). Excellent communication skills to effectively present complex data insights to non-technical stakeholders. More About Wells Fargo Bank Wells Fargo is a leading financial services company that provides a wide range of banking, investment, and mortgage products and services. The Small Business Analytics Team focuses on leveraging data analytics to support the growth and success of small businesses within the organization. Ready to Apply? To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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