About this role:

Wells Fargo is seeking a Senior Data Science Consultant.

In this role, you will:

• Lead or participate in moderately complex initiatives and deliverables by utilizing data-driven, advanced analytical and statistical techniques, algorithms, or models to generate actionable insights, identify trends, provide recommendations, or contribute to large-scale planning with broader impact.
• Review and analyze moderately complex, large structured and unstructured datasets from various sources, requiring in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations.
• Independently analyze and resolve moderately complex issues and lead the team to meet deliverables while leveraging a solid understanding of analytical capabilities.
• Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that help resolve issues and achieve goals; may lead projects or teams or serve as a mentor to lower-level staff.
• Execute 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 solutions to problems and influence business decisions and strategies.
• Communicate actionable insights and recommendations using data in a clear and digestible format to non-technical audiences at varying levels.

Required Qualifications:

• 4+ 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.
• 4+ years of experience in Data Analytics, Insight Generation, Automation, Data Visualization, and Data Science.
• 3 years of experience working in large banks or financial services organizations, translating business problems into actionable insights, with demonstrable experience delivering strategic insights and recommendations.

Desired Qualifications:

• Bachelor's degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics, computer science, or business, social, and behavioral sciences with a quantitative emphasis.
• Experience in data analysis, data extraction, and data manipulation.
• Strong programming and data skills in Python, PySpark, and SQL, with experience working with large datasets.
• Good to have knowledge of cloud-based environments such as GCP, Azure, and AWS.
• Proficiency in BI tools such as Power BI and Tableau.
• Proficiency in statistical fundamentals and basic modeling concepts, including linear and logistic regression.
• Familiarity with Generative AI concepts, including LLMs, embeddings, and prompt-based systems, for awareness and future collaboration.
• Highly effective communication skills, with the ability to convey results, concepts, issues, and challenges to partners, peers, and non-technical marketing/business audiences through executive-ready presentations.
• Organized and proactive, with the ability to manage tasks in a dynamic environment and handle multiple priorities.

Job Expectations:

• Strong conceptual and quantitative problem-solving skills.
• Excellent written and verbal communication and interpersonal skills.
• Tenacity and persistence to ensure compliance with tight deadlines.

Posting End Date: 

*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.

c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.