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  3. Senior Data Science Consultant

Senior Data Science Consultant

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Wells Fargo & Company - Institutional Retirement & Trust business logo

Senior Data Science Consultant

Wells Fargo & Company - Institutional Retirement & Trust business

Location

Bengaluru, India

Experience

Senior

Posted

Jul 10, 2026

Apply by

July 17, 2026

Applicants

0

Early applicantFull-timeWork from Office

Sign in to apply on web or download the app for more options.

Job Description

**About this role:** Wells Fargo is seeking a Senior Data Science Consultant **In this role, you will:** - Lead or participate in moderately complex initiatives and deliverables by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact - Review and analyze moderately complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations - Independently analyze and resolve moderately complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities - Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams, or serve as a mentor for lower-level staff - Execute analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains - Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies - Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels **Required Qualifications:** - 4+ 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 **Posting End Date:** 16 Jul 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](https://www.wellsfargojobs.com/en/diversity/disability-inclusion/). **Drug and Alcohol Policy** Wells Fargo maintains a drug free workplace. Please see our [Drug and Alcohol Policy](https://www.wellsfargojobs.com/en/wells-fargo-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.

Key Responsibilities

  • Lead or participate in moderately complex initiatives using data-driven analytical techniques to generate actionable insights.
  • Review and analyze large structured and unstructured data sets to convert data into meaningful recommendations.
  • Independently analyze and resolve moderately complex issues while leading teams to meet deliverables.
  • Collaborate with peers and managers to drive strategies based on data-driven insights.
  • Execute analytical experiments and create innovative statistical models to solve business problems.
  • Interpret data using advanced analytics modeling methods to influence business decisions.
  • Communicate actionable insights and recommendations to non-technical audiences.

Requirements

  • Master's degree or higher in a quantitative discipline such as mathematics
  • statistics
  • engineering
  • physics
  • economics
  • or computer science

Skills Required

Data ScienceStatistical AnalysisAdvanced AnalyticsProgrammingStatistical ModelingData AnalysisLeadershipCollaborationCommunicationProblem SolvingMentoring

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Job Overview

Salary

—

Job Type

Full-time

Experience

Senior

Location

Bengaluru, India

Application Deadline

July 17, 2026

Total Applicants

0

About Wells Fargo & Company - Institutional Retirement & Trust business

Wells Fargo & Company - Institutional Retirement & Trust business logo

Wells Fargo & Company - Institutional Retirement & Trust business is a leading company in the Technology sector, known for innovation and employee-centric culture.

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