Lead Data Science Consultant Job at Wells Fargo (Bengaluru)

Job Responsibility

Lead complex initiatives by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, including those that are cross-functional with broad impact acting as key participant in large-scale planning
Review and analyze complex, multi-faceted, larger-scale, or longer-term business, operational, or technical challenges that require in-depth hypothesis generation and advanced analysis of multiple parts, including intangibles or unprecedented factors
Make decisions in complex and multi-faceted situations requiring an expertise in analytical thinking to resolve abstract business issues that influence and lead broader work team to meet deliverables and drive new initiatives
Strategically collaborate and consult with peers, colleagues, and mid-level to senior 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 peer mentor
Execute complex 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
Provide consultation to peers on data science best practices, methods, and tools to leverage
Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels

Requirements

5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Great experience in data analytics, reporting, or data science
5+ years of experience in Consumer Lending / Retail Banking analytics
Strong proficiency in SQL and advanced analytics using Python or R
Experience with BI and visualization tools such as Tableau, Power BI, or equivalent
Proven ability to work with large, complex datasets
Strong stakeholder management and communication skills
Advanced degree in Data Science, Statistics, Economics, Engineering, or related field
Experience with Consumer Lending lines of business and systems of record
Knowledge of credit risk metrics and portfolio analytics (delinquency, roll rates, losses, vintage analysis)
Exposure to model governance, performance monitoring, or challenger models
Experience working in a Global Capability Center (GCC) or offshore model
Familiarity with cloud analytics platforms (AWS, Azure, or GCP)
Willingness to work on-site 3 days a week at a Wells Fargo Risk hub location
Proven track record of building and maintaining strong working relationships and coordinating with stakeholders to achieve goals
Strong analytical skills with high attention to detail and accuracy
Ability to articulate complex concepts in clear manner
Ability to exercise independent judgment and creative problem-solving techniques
Lead and mentor a team of data scientists, analysts, and BI developers
Drive best practices in analytics delivery, agile execution, and documentation
Support hiring, performance management, and skill development within the team
Lead design and delivery of advanced analytics and reporting for Consumer Lending portfolios
Translate complex business needs into scalable analytics and reporting solutions
Drive insights across the Home lending including Servicing, portfolio performance, losses, and profitability
Partner with Consumer Lending , Credit Risk, Finance, and Product teams to influence data‑driven decisions
Present analytics, trends, and recommendations to senior leadership
Ensure compliance with model risk management, data governance, and regulatory reporting standards
Mentor and guide junior analysts and data scientists
Support reporting automation, efficiency initiatives, and analytics modernization
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

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Lead Data Science Consultant

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