Senior Data Science Consultant - 111442-IND-BENGALURU-INTL BLR BLK B3 PETUNIA | Wells Fargo Job

About this role:

Wells Fargo is seeking a seasoned Senior Data Science Consultant to support the Branch Banking Analytics team. This role is responsible for leveraging advanced analytics, data science, and statistical methodologies to generate strategic insights, drive business decisions, and support key initiatives across Branch Banking. The ideal candidate will combine strong technical expertise with business acumen to solve complex analytical problems, influence stakeholders, and deliver measurable business impact.

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
• 4+ years of experience in Data Analytics, Insight Generation, Automation, Data Visualization and Data Science
• 3 years of experience working in Large Banks/ Financial Services to translate business problems into actionable insights, with demonstrable experience of delivering strategic insights and recommendations.

Desired Qualifications:

• Bachelor's degree or higher in a quantitative field such as applied math, statistics, engineering, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
• Experience in data analysis, data extraction/manipulation.
• Strong programming and data skills: Python, PySpark, SQL; experience working with large datasets
• Good to have knowledge on cloud-based environment: GCP, Azure, AWS.
• Proficiency in BI Tools: Power BI, Tableau.
• Proficient with Statistics foundation and basic modeling concepts (regression (linear/logistic).
• Familiarity with Generative AI concepts (LLMs, embeddings, prompt-based systems) for awareness and future collaboration.
• Highly effective communication skillset: ability to convey results, concepts, and issues/challenges with us and partners / peers and non-technical marketing/business audience through executive ready presentations.
• Organized and proactive, should be able to manage tasks in a dynamic environment and deal with multiple priorities.

Job Expectations:

• Strong conceptual and quantitative problem-solving skills
• Excellent written and oral communication skills, and interpersonal skills.
• Tenacity and persistence to ensure compliance with tight deadlines.

Posting End Date: 

15 Oct 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.