Senior Data Scientist: NLP/LLM for Enterprise Credit

Bank of America; Charlotte (NC); On-site; USD 125,000 - 188,000; Full time

Benefits offered by this job

Discretionary incentive plan

Industry-leading benefits

Job summary

Bank of America is seeking a seasoned Data Scientist to coordinate data analytics and develop risk-aware NLP/LLM solutions for enterprise use. The role emphasizes leadership, collaboration across teams, and delivering data-driven insights to drive responsible growth.

The ideal candidate brings deep Python/SQL expertise, hands-on ML/NLP experience, and a track record of guiding junior analysts while aligning with governance and risk objectives.

Qualifications

• 5+ years in a Data Science role or related field.
• Strong Python and SQL programming skills.
• Experience building and deploying models for business insight.
• Ability to lead multi-stakeholder projects and communicate findings clearly.
• Experience with NLP/LLMs a plus and risk governance awareness.

Responsibilities

• Coordinates data collection, trend identification, and pattern recognition to drive insights.
• Assists in communicating enterprise information products to answer banking questions.
• Applies Agile practices for project management and deployment.
• Oversees technical documentation and captures business requirements for analytical solutions.
• Reviews models and data visualizations for quality and timeliness.
• Mentors junior data scientists and analysts.

Skills

Artificial Intelligence/Machine Leanr

Business Acumen

Presentation Skills

Project Management

Technical Documentation

Data Visualization

Risk Management

Written Communications

Education

High School Diploma / GED

Tools

Python

SQL

Pandas

NumPy

scikit-learn

Job description

Bank of America is seeking a seasoned Data Scientist to coordinate data analytics and develop risk-aware NLP/LLM solutions for enterprise use. The role emphasizes leadership, collaboration across teams, and delivering data-driven insights to drive responsible growth.

The ideal candidate brings deep Python/SQL expertise, hands-on ML/NLP experience, and a track record of guiding junior analysts while aligning with governance and risk objectives.