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 Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: Desirable to have 2-3 years of experience working in Large Banks/ Financial Services to translate business problems into actionable insights, with demonstrable experience of delivering strategic insights and recommendations.
• Bachelor's degree or higher in a quantitative field such as applied math, statistics, engineering, finance, economics, econometrics, computer sciences
• business/social and behavioral sciences with a quantitative emphasis 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 concepts on data handling.
• Decent exposure to modeling concepts and feature engineering.
• 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.
• Mentor junior data scientists and contribute to best practices, standards, and reusable assets.
• Job Expectations: Strong conceptual and quantitative problem solving skills Excellent written and oral communication skills, and interpersonal skills.
• Tenacity and persistence to ensure compliance with tight deadlines Posting End Date: 18 Jun 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
• 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)
• 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
• 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.