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Senior Data Science Consultant

  • Data & Analytics
  • Full time
  • R-368936

About This Role 

This role is for a Senior Data Science Consultant (P3) within the CDAI (Consumer Data, Analytics and Artificial Intelligence) function. 

We are seeking highly skilled and talented individual who will form part of an agile group of professionals that will work across the Consumer , Small & Business Banking (CSBB) core businesses and functions to provide deep analysis and strategic solutions to enable existing and new businesses to develop and expand. Specifically, we are looking for someone with an analytical acumen and ability to define hypothesis & assumptions, lay out data requirement, gather, and analyze data and apply the business P&L (revenue, cost, margin, etc.) levers to derive insights and refine strategies.

The work will involve identifying areas for opportunities and growth within each initiative leveraging analytical thinking & rigor to ensure that it correlates back to the overall strategy of the CSBB and the broader enterprise.

In This Role, You Will 

This role is for our  Customer Analytics team and you will be responsible to analyze and transform customer data into actionable insights for enhanced engagement and experience. Leveraging advanced analytics to drive strategic decision making and empowering businesses to cultivate lasting relationships to drive growth through a deep understanding of customer behavior across Lines of Business (LOBs).

Required Qualifications (Must-Haves) 

  • 4-8 years of experience in Data Analytics, Insight Generation and/or Data Science  
  • 2-3 years of experience working in Large Banks/ Financial Services to translate business problems into actionable insights, with demonstratable 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, or business/social and behavioral sciences with a quantitative emphasis  
  • Experience in data analysis, data extraction/manipulation and loading routines using SQL, Teradata, database structures and data warehouses.  
  • Proficient in SQL, Python, PySpark for data analysis and usage of libraries  
  • 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.
  • Experience with statistics and basic statistical modeling techniques (i.e., regression, decision tree, random forest, clustering, segmentation etc.)    
  • Good Story telling competencies to create new and novel analytics approach or data visualizations to deliver Insights to target audience.  
  • Self-motivated to identify opportunities and propose solutions to business partners.  

Desired Skills:  

  • Languages: SQL, Python, SAS/R, PySpark
  • BI Tools: Tableau/ Power BI/ Excel
  • Good knowledge of building strategic analysis using customer profiling, business segmentation, heuristics, inferential statistics, RFM analysis
  • Experience of working with Machine learning techniques – Segmentation, Regression, Decision Trees, Forecasting, Clustering
  • Financial services experience
  • Organized and proactive, should be able to manage tasks in a dynamic environment and deal with multiple priorities.
  • 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

Job Level:


Posting End Date: 

*Job posting may come down early due to volume of applicants.

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

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 US: 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.

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.

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