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, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact
Review and analyze moderately complex, large structured and unstructured data sets from various sources, requiring an 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 team to meet deliverables while leveraging solid understanding of analytic 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 will resolve issues and achieve goals may lead projects, teams, or serve as a mentor for 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 ways to solve problems and influence business decisions and strategies
Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of 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

Desired Qualifications:

4+ years of data science experience, or equivalent demonstrated through one or a combination of the following: data engineering (GCP), dashboarding (Power BI), AI-driven analytics, and automation.

Job Expectations:

Lead end-to-end data-to-insights ecosystem spanning data engineering (GCP), dashboarding (Power BI), AI-driven analytics, and automation. Drive scalable, self-serve BI solutions that deliver actionable insights and business value through advanced analytics, GenAI, and automation to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact
Design, develop, and maintain scalable Power BI dashboards and reports. Translate business requirements into interactive, intuitive visualizations. Enable self-service analytics for business stakeholders. Define and maintain semantic models, data dictionaries, and KPIs
Build and manage data pipelines and data models on GCP (BigQuery, Cloud Storage). Ensure high data quality, performance, and scalability. Integrate data across multiple platforms (on-prem, cloud, APIs). Optimize data architecture for analytics and AI use cases
Review and analyze moderately complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation to convert data into meaningful insights and recommendations
Independently analyze and resolve moderately complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities
Embed AI/ML insights directly into dashboards. Leverage GenAI (e.g., Copilot) for automated insights, summaries. Drive conversational BI and AI-assisted reporting
Build automated workflows (using Power Automate + Power BI). Enable report automation, scheduling, and distribution. Reduce manual effort in reporting and analytics delivery.

Posting End Date:

4 Jun 2026

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.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our 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.

Senior Data Science Consultant

Senior Consultant - Data Science