About this role:

Wells Fargo is seeking a Data Science Consultant. We are seeking a highly skilled and talented individual who will be part of an agile group of professionals working across businesses and functions to provide deep analysis and strategic solutions that enable existing and new businesses to grow and expand. Specifically, we are looking for someone with strong analytical acumen and the ability to define hypotheses and assumptions, outline data requirements, gather and analyze data, and apply business P&L levers (revenue, cost, margin, etc.) to derive insights and refine strategies.

In this role, you will:

• Participate in low- to moderately complex initiatives by utilizing data-driven, advanced analytical, and statistical techniques to identify trends, diagnose problems, and build actionable insights and recommendations.
• Review and analyze business, operational, and technical assignments or challenges that require research, evaluation, and selection of alternatives to convert data into meaningful insights and recommendations.
• Exercise independent judgment to guide medium-risk business hypothesis generation.
• Present recommendations and insights for resolving low- to moderately complex business needs and problems; exercise independent judgment while developing expertise in analytical capabilities.
• Collaborate and consult with functional colleagues, internal partners, and stakeholders to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns.
• Conduct low- to moderately complex predictive analytics to build actionable insights and recommendations.
• Design and apply algorithms to mine large sets of structured and unstructured data from various sources.
• Ensure data completeness, accuracy, and consistency through data cleaning and validation.
• Interpret and analyze data using advanced analytical modeling methods and programming techniques to identify patterns that lead to recommendations, solve business problems, and influence business decisions and strategies.

Required Qualifications:

• 2+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, or education.
• Master's degree or higher in a quantitative discipline such as Mathematics, Statistics, Engineering, Physics, Economics, or Computer Science.
• 2+ years of experience in Data Analytics, Insight Generation, and/or Data Science.
• 2+ years of experience in large banks or financial services organizations, translating business problems into actionable insights, with demonstrated success in delivering strategic recommendations and business impact.

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/manipulation, and data loading processes using SQL, Teradata, database structures, and data warehouses.
• Strong proficiency in SQL, Python, and PySpark for data analysis and utilization of analytical libraries.
• Effective communication skills, with the ability to convey results, concepts, challenges, and recommendations to partners, peers, and non-technical business audiences through executive-ready presentations.
• Experience with statistics and foundational statistical modeling techniques, including regression, decision trees, random forests, clustering, and segmentation.
• Strong storytelling capabilities to develop innovative analytical approaches and data visualizations that effectively communicate insights to target audiences.
• Self-motivated with the ability to identify opportunities and proactively propose solutions to business partners.

Job Expectations:

• Languages: SQL, Python, SAS/R, PySpark.
• BI Tools: Tableau, Power BI, Excel.
• Good knowledge of conducting strategic analyses using customer profiling, business segmentation, heuristics, inferential statistics, and RFM analysis.
• Experience working with machine learning techniques such as Segmentation, Regression, Decision Trees, Forecasting, and Clustering.
• Financial services industry experience.
• Strong written, verbal, and interpersonal communication skills.

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.