Lead Data Science Consultant

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 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 Posting End Date: 7 Jun 2026 *Job posting may come down early due to volume of applicants. 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. 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. Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.1 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. 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