Lead Data Science Consultant

Wells Fargo is seeking a Lead Business Execution 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
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Lead complex initiatives using advanced analytical, statistical techniques, and models to deliver actionable insights across cross-functional domains
• Analyze large-scale, multi-faceted business and operational problems using hypothesis-driven and structured analytical approaches
• Drive decision-making in complex scenarios by leveraging deep analytical thinking and influencing stakeholders
• Collaborate with peers and senior stakeholders to develop and implement data-driven strategies
• Design and execute analytical experiments and models to solve business problems and uncover opportunities
• Interpret and analyze large datasets using SQL, Python, SAS, or similar tools to influence business decisions
• Communicate insights effectively to technical and non-technical audiences through executive-ready storytelling
• Support redress activities and impact analysis for identified control breaks
• Perform root cause analysis for exceptions and anomalies in control outputs
• Partner with stakeholders to quantify customer and financial impact and define remediation scope
• Ensure end-to-end traceability from issue → analysis → resolution → closure
• Own end-to-end execution of control reports (Self Assurance deliverables)
• Ensure timely, accurate, and complete delivery of all control outputs
• Perform rigorous pre- and post-run validations (data completeness, accuracy, reconciliation)
• Validate outputs against business rules, thresholds, and control intent prior to release
• Experience in Data Analytics, Insights, or Data Science
• Experience in Banking/Financial Services delivering analytical insights and recommendations
• Strong SQL and SAS skills required
• Proven experience in leading projects independently and mentoring junior team members
• Strong stakeholder management and ability to influence senior stakeholders
• Experience in:
  • Data extraction, transformation, and analysis (Teradata, data warehouses)
  • Data migration initiatives (Teradata/Hadoop to GCP)
  • Python/PySpark for large-scale data processing
  • Data validation, QA, and reconciliation processes
  • Control assurance (SAA) and redress analytics (highly preferred)
  • BI tools (Tableau / Power BI) and self-service analytics
• Strong communication skills with ability to present insights to business stakeholders
• Strong problem-solving skills with ability to handle ambiguity and multiple priorities

Job Expectations:

• Strong proficiency in SQL, Python, SAS, PySpark
• Experience with GCP and modern data platforms
• Exposure to machine learning techniques (forecasting, clustering, segmentation)
• Financial services domain expertise
• Highly organized and proactive with the ability to manage multiple deliverables
• Strong storytelling and visualization skills for executive audiences
• Ability to drive innovation using automation and emerging technologies (e.g., GenAI)
• Demonstrated persistence and accountability in meeting tight deadlines and compliance expectations

Posting End Date:
14 Jul 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.