Lead Data Scientist - Global Payments & Liquidity

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 4 months ago
1-3 years
CHARLOTTE
full time

Posted: 4 months ago
|
Applicants: 151+
Job Description
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Job Description

Join our Global Payments & Liquidity (GPL) team as a Vice President-level Lead Data Scientist, where you’ll shape the future of data-driven decision-making in one of the most dynamic areas of financial services. This is a high-impact leadership role for an innovative thinker who thrives on solving complex problems and delivering scalable solutions that transform customer experiences and accelerate business growth.

What You’ll Do

  • Drive Strategy Through Data: Partner with senior business leaders to translate strategic priorities into actionable data science initiatives that influence product innovation and customer engagement.

  • Lead Advanced Modeling: Design and implement sophisticated machine learning and deep learning models, leveraging cutting-edge statistical techniques to uncover insights and predict outcomes.

  • Architect Scalable Solutions: Collaborate with data engineering teams to ensure robust, secure, and production-ready deployment of analytics solutions across cloud platforms.

  • Champion Data Excellence: Establish and enforce best practices for data quality, governance, and reproducibility, ensuring models meet the highest standards of accuracy and transparency.

  • Communicate Impact: Present complex findings in a clear, compelling way to both technical and non-technical stakeholders, driving informed decisions at the executive level.


Required Qualifications:

  • 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

  • 5+ years experience in Python and SQL

  • 1+ years experience in leadership or mentorship of more junior team members

  • Masters degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Preferred Qualifications

  • Expertise in deep learning frameworks (TensorFlow, PyTorch) and experience with NLP or predictive modeling.

  • Prior experience supporting Agile product teams in a corporate environment.

  • Familiarity with banking products, transaction services, and working capital solutions.

  • Knowledge of cloud platforms (AWS, Azure) and data visualization tools (Power BI, Tableau).

Why Join Us?

  • Influence strategic decisions at the intersection of data science and global payments.

  • Work on high-visibility projects that shape the future of financial technology.

    Looking to get Placed? Try our Placement Guarantee Plan

  • Competitive compensation and relocation support for candidates outside Charlotte, NC.

Posting End Date:

30 Jan 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.

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.


Skills

Data VisualizationPythonData ScienceDeep LearningMachine LearningPredictive ModelingVisualizationData ScientistAnalytics

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About Company

Wells Fargo & Company is an American multinational financial services company with a significant global presence, operating in 35 countries and serving over 70 million customers worldwide. It is one of the “Big Four” banks in the United States, alongside JPMorgan Chase, Bank of America, and Citigroup, and is designated as a systemically important financial institution by the Financial Stability Board.

Founded in 1852 by Henry Wells and William G. Fargo, the company’s primary subsidiary is Wells Fargo Bank, N.A., headquartered in Sioux Falls, South Dakota for legal purposes. Wells Fargo is the fourth‑largest bank in the U.S. by total assets and ranks among the largest by deposits and market capitalization. It operates over 8,000 branches, 13,000 ATMs, and is a leading retail mortgage originator and servicer in the U.S., with a servicing portfolio exceeding $1.8 trillion.

In India, Wells Fargo began operations in 2006 with Wells Fargo India Solutions and has since expanded to major offices in Hyderabad, Bengaluru, and Chennai. The India teams support nearly all of Wells Fargo’s business lines, delivering services in technology, operations, risk, analytics, and corporate functions. India is a critical hub in the bank’s global delivery strategy, focusing on innovation, operational excellence, and strong risk management.

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Important dates & deadlines?

Application Deadline

30 Apr 26, 06:05 PM IST

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Lead Data Scientist - Global Payments & Liquidity

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