Lead Data Science Consultant

Posted Yesterday
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West Des Moines, IA, USA
Hybrid
139K-239K Annually
Senior level
Fintech • Financial Services
Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Lead advanced analytics initiatives to identify resiliency risks and performance gaps. Build and deploy statistical and ML models (including GenAI/LLMs and RAG workflows), analyze complex datasets, advise senior leadership, communicate actionable insights to non-technical audiences, and mentor peers while driving cross-functional resiliency solutions.
Summary Generated by Built In
About this role:
Wells Fargo is seeking a Lead Data Science Consultant, focused on the delivery of advanced analytics to identify resiliency risks, gaps, and performance insights across resiliency programs. This individual will translate complex data into clear, actionable insights to inform senior leadership decisions and strategy. They will also build models and run analyses to improve resiliency outcomes (e.g., risk identification, scenario impacts, service stability). The successful candidate will be inquisitive and have the ability to think outside of the box with a risk-based mindset.
In this role, you will:
o 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
o 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
o 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
o 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
o Execute complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
o Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies
o Provide consultation to peers on data science best practices, methods, and tools to leverage
o Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels
Required Qualifications:
o 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
o Minimum 5+ years of industry experience in developing Machine Learning and Statistical Models from idea generation to objective formulation to implementation and deliverables
o Masters degree in Computer Science, Mathematics, Statistics, Physics, Engineering or other relevant technical Fields
o Proven industry experience in natural language processing and text mining
o Strong understanding of statistical analysis, hypothesis testing, and experimental design
o Proficient in programming languages commonly used in data science (Python, R, Spark, etc.)
o Practical knowledge of Retrieval-Augmented Generation (RAG), embeddings/vector search, document extraction tools (Azure Document Intelligence, Textract, DocAI), LangChain/LlamaIndex, and production MLOps.
o Strong SQL experience
o Working experience with Visualization tools using PowerBI and/or Tableau
o Expertise in developing and deploying distributed ML Models on a cloud environment
o Experience in GenAI/LLM (Claude, Gemini, and Llama 3.x)
o Strong problem solving and decision-making skills with attention to detail and accuracy
o Ability to effectively form stories through data analysis
o Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important
o Excellent verbal, written, and interpersonal communication skills
o Ability to manage multiple projects simultaneously
Job Expectations:
  • This position offers a hybrid work schedule with 3 days in office and 2 days remote.
  • This position is not eligible for Visa sponsorship.
  • Ability to travel up to 10% of the time.

Work Locations:
Charlotte, North Carolina
Bloomington, Minnesota
West Des Moines, Iowa
Phoenix, Arizona
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$139,000.00 - $239,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement
Posting End Date:
10 Aug 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, 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.
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.
#BI-Hybrid

Skills Required

  • 5+ years of data science experience
  • Experience developing Machine Learning and Statistical Models from idea to implementation
  • Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering or related field
  • Proven industry experience in natural language processing and text mining
  • Strong understanding of statistical analysis, hypothesis testing, and experimental design
  • Proficient in Python, R, and Spark
  • Practical knowledge of Retrieval-Augmented Generation (RAG), embeddings/vector search, and document extraction tools (Azure Document Intelligence, Amazon Textract, Google DocAI)
  • Experience with LangChain and/or LlamaIndex
  • Production MLOps and expertise deploying distributed ML models on cloud environments
  • Strong SQL experience
  • Working experience with PowerBI and/or Tableau for visualization
  • Experience with GenAI/LLM platforms (Claude, Gemini, Llama 3.x)
  • Strong problem solving, data storytelling, communication, and ability to manage multiple projects

Wells Fargo Compensation & Benefits Highlights

  • Retirement Support Retirement support is anchored by a dollar‑for‑dollar 401(k) match on employee contributions after one year of service, with an additional non‑matching company contribution for some lower‑paid employees. Access to an employee stock purchase plan further expands long‑term savings opportunities.
  • Parental & Family Support Family supports include up to 16 weeks of paid parental leave available from the first day of employment, plus paid critical‑caregiving leave and extensive backup care options. Fertility, adoption, and surrogacy programs are highlighted with meaningful coverage and reimbursements, including a combined lifetime maximum up to $35,000 for eligible expenses.
  • Healthcare Strength Health coverage is comprehensive from day one, spanning medical, dental, vision, mental health, prescriptions, and preventive care often fully covered in‑network. Employer cost‑sharing is emphasized alongside no‑cost counseling through the EAP within plan limits.

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The Company
HQ: San Francisco, CA
205,000 Employees
Year Founded: 1852

What We Do

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.

Why Work With Us

We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”

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