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Senior Data Science Consultant

Wells Fargo

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job offer has expired

Job Description:

Wells Fargo is seeking a Senior Data Science Consultant.

Job Responsibility:

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

Requirements:

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

Nice to have:

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

Additional Information:

Job Posted:
April 23, 2026

Expiration:
April 23, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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