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Lead Data Science Consultant @ Wells Fargo

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Wells Fargo  Lead Data Science Consultant

Job Description

About this role:

Wells Fargo is seeking a Lead Data Science Consultant

In this role, you will:

  • 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

Required Qualifications:

  • 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

  • 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)

Job Expectations:

  • 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 datadriven 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

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Wells Fargo
Location(s): Bengaluru

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Keyskills:   data science risk management python data analytics credit risk skill development power bi sql r tableau gcp stakeholder management recruitment compliance data governance agile aws performance management finance azure

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Wells Fargo

'Wells Fargo is committed to building an inclusive, sustainable recovery for all through a focus on opening pathways to economic advancement, championing quality, affordable homes, empowering small businesses to thrive, and enabling a just, low-carbon economy.'