Senior NLP & AI Data Scientist for Risk & Growth

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

Job summary

Bank of America is seeking a senior data scientist to lead data analysis, model development, and AI initiatives in support of enterprise credit and risk management. You will mentor analysts, collaborate with business lines, and drive responsible growth through advanced analytics and NLP solutions.

The role emphasizes governance, model risk, and scalable deployment of AI capabilities within a regulated financial environment. In-office Chicago location with standard hours and competitive benefits.

Qualifications

• 5+ years of work experience in a Data Science role or related field.
• Proven ability in learning and strong programming (Python, SQL) skills.
• Strong interest in using data for business insight and experience in building and deploying models.
• Strong desire to learn and willingness to acquire needed knowledge and skills.
• Demonstrated project management skills, including ability to prioritize, meet deadlines and follow through on completion of high-profile projects or initiatives.
• Positive attitude, willingness to collaborate, strong work ethic, and demonstrated personal initiative.
• Organized; able to effectively prioritize and balance multiple efforts in a fast-paced environment.
• Ability to lead and influence stakeholders across multiple levels and organizations, aligning technical teams and business stakeholders to deliver actionable insights.
• Ability to identify and remediate risks in a timely manner.
• Ability to navigate the enterprise / source information across multiple functions.
• Strong verbal and written communication skills.
• General knowledge of Enterprise Credit businesses, processes, systems, and policies.
• Experience building and implementing Natural Language Processing (NLP) solutions from scratch.
• Experience using Python packages such as: pandas, NumPy, scikit-learn, spaCy, NLTK, PyTorch, TensorFlow or other advanced scientific/ML/NLP Python packages
• Hands-on experience with Large Language Models (LLMs), including prompt engineering, fine-tuning, or parameter-efficient adaptation (e.g., LoRA, adapters) for enterprise use cases (e.g., document understanding, semantic search, summarization, or decision support)
• Strong understanding of modern NLP architectures, including transformers, embeddings, attention mechanisms, and vector similarity search
• Demonstrated experience operationalizing NLP/ML solutions, including model validation, monitoring, drift detection, and iterative improvement post-deployment
• Strong understanding of model risk, bias, explainability, and governance considerations, especially in regulated financial environments
• Ability to document assumptions, limitations, and controls for NLP and generative AI solutions in a manner suitable for senior stakeholders and risk partners
• Experience mentoring junior data scientists, providing technical guidance on NLP, modeling best practices, and code quality

Responsibilities

• Coordinate data collection, trend analysis, and pattern recognition, using advanced techniques to drive decision making and data-driven insights.
• Contribute to adoption of enterprise information products by communicating how data answers material banking questions.
• Apply Agile practices for project management, solution development, deployment, and maintenance.
• Provide oversight of technical documentation, capturing requirements and specifications for analytical solutions and production implementation.
• Review work products to ensure quality and timely delivery of models, data science products, reports, or visualizations.
• Mitigate risk by identifying potential issues and developing controls.
• Possess deep knowledge of latest advances in data science and AI to support business analytics.
• Evaluate Proofs of Concepts for Enterprise Credit using emerging AI technologies, ensuring alignment with priorities.
• Support Bank policy for AI models and mitigate risks of advanced techniques.
• Mentor junior data scientists, fostering a culture of learning and innovation.

Skills

AI/ML

Business Acumen

Presentation Skills

Project Management

Technical Documentation

Candidate Screening

Data Visualization

Risk Management

Written Communications

Adaptability

Career Path Design

Consulting

Performance Management

Workforce Opportunity Management

Education

High School Diploma / GED / Secondary School or equivalent

Job description

Bank of America is seeking a senior data scientist to lead data analysis, model development, and AI initiatives in support of enterprise credit and risk management. You will mentor analysts, collaborate with business lines, and drive responsible growth through advanced analytics and NLP solutions.

The role emphasizes governance, model risk, and scalable deployment of AI capabilities within a regulated financial environment. In-office Chicago location with standard hours and competitive benefits.