Data Scientist I
Atlanta, Georgia;Charlotte, North Carolina
To proceed with your application, you must be at least 18 years of age.
Acknowledge (https://ghr.wd1.myworkdayjobs.com/Lateral-US/job/Atlanta/Data-Scientist-I_26034307)
Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position.
Acknowledge (https://ghr.wd1.myworkdayjobs.com/Lateral-US/job/Atlanta/Data-Scientist-I_26034307)
Refer a friend
To proceed with your application, you must be at least 18 years of age.
Acknowledge (https://ghr.wd1.myworkdayjobs.com/Lateral-US/job/Atlanta/Data-Scientist-I_26034307)
Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position.
Acknowledge (https://ghr.wd1.myworkdayjobs.com/Lateral-US/job/Atlanta/Data-Scientist-I_26034307)
Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.
Responsibilities:
Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights
Applies agile practices for project management, solution development, deployment, and maintenance
Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production
Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
Mitigates risk by identifying potential issues and developing controls
Researches the latest advances in the fields of data science and artificial intelligence to support business analytics
Overview of Global Risk Analytics:
Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM), responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across the bank. GRA is also responsible for model implementation, execution, forecasting and performance monitoring. The team drives innovation, process improvement and automation across these activities.
Overview of Data Science for Technology, Risk and Operations:
Data Science for Technology, Risk, and Operations (DSTRO) enables the Bank's responsible adoption of Artificial Intelligence (AI) through governance, model oversight, model development, and enterprise data engineering. By providing AI and model risk governance, AI-driven solutions, and critical transaction data assets, DSTRO delivers the controls, infrastructure, and insights needed to strengthen risk management, enhance operational effectiveness, and drive enterprise value.?
Team Overview:
The Data Science for Technology, Risk, and Operations (DSTRO) Innovations team leverages Artificial Intelligence, Large Language Models (LLMs), and advanced analytics to improve efficiency and effectiveness across Global Compliance and Operational Risk, Global Risk Analytics, and broader risk and technology domains. The team focuses on automation, model support and governance, and innovative solutions that enhance risk management and operational processes."
Role Description:
As a Data Scientist I, you will support the development and deployment of data science, machine learning, and AI-driven solutions that address key business challenges across the enterprise. You will work on a variety of automation, analytics, and modeling initiatives while partnering with stakeholders across Global Risk Analytics (GRA), Global Technology, Global Compliance & Operational Risk (GCOR), and other business teams.
This role provides an opportunity to apply Large Language Models, machine learning techniques, and modern software engineering practices to real-world business problems. The successful candidate will contribute to the design, development, testing, and deployment of data science and AI solutions that deliver measurable business impact across risk, compliance, and technology organizations.
Required Qualifications:
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
1+ years of experience applying data science, machine learning, analytics, or automation techniques to solve business problems (including internships or equivalent experience where appropriate).
Strong analytical, problem-solving, and communication skills.
Ability to work effectively in a cross-functional environment and translate business requirements into technical solutions.
Experience managing multiple priorities and delivering quality work in a fast-paced environment.
Experience working in Agile delivery environments and using project management tools such as Jira.
Required Technical Skills:
Experience developing solutions using Python and SQL.
Experience with Large Language Models (LLMs) and associated frameworks and tools, including: (1) LangChain, (2) Model Context Protocol (MCP), (3) Retrieval Augmented Generation (RAG), (4) Vector databases, and (5) LangGraph
Experience with Git and modern software development practices.
Experience working with CI/CD pipelines and version control workflows.
Strong analytical, problem-solving, and communication skills.
Ability to work effectively in a collaborative, cross-functional environment
Desired Skills:
Experience with machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow.
Experience building GenAI applications, copilots, agents, or workflow automation solutions.
Familiarity with model governance, model risk management, or AI governance frameworks.
Experience working with REST APIs, microservices, and enterprise application integration.
Experience with software testing, code reviews, and development best practices.
Experience in financial services, risk management, compliance, audit, or operational processes.
Experience using modern AI development tools such as GitHub Copilot and VS Code
Skills:
Adaptability
Attention to Detail
Business Analytics
Technical Documentation
Written Communications
Agile Practices
Application Development
Collaboration
Data Visualization
DevOps Practices
Artificial Intelligence/Machine Learning
Networking
Policies, Procedures, and Guidelines Management
Presentation Skills
Risk Management
Shift:
1st shift (United States of America)
Hours Per Week:
40
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
View your "Know your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\EEOC\KnowYourRights6.12.pdf) " poster.
View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) .
Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work.
This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.
Investment products offered through MLPF&S and insurance and annuity products offered through MLLA:
Are Not FDIC Insured Are Not Bank Guaranteed May Lose Value
Are Not Deposits Are Not Insured by Any Federal Government Agency Are not a condition to Any Banking Service or Activity
Merrill Lynch, Pierce, Fenner & Smith Incorporated (also referred to as "MLPF&S" or "Merrill") makes available certain investment products sponsored, managed, distributed or provided by companies that are affiliates of Bank of America Corporation ("BofA Corp."). MLPF&S is a registered broker-dealer, registered investment adviser, Member SIPC and a wholly owned subsidiary of BofA Corp. Insurance and annuity products are offered through Merrill Lynch Life Agency Inc., a licensed insurance agency and wholly owned subsidiary of Bank of America Corporation.
Trust, fiduciary and investment management services are provided by Bank of America, N.A., Member FDIC and wholly owned subsidiary of Bank of America Corporation ("BofA Corp.").
Bank of America Private Bank is a division of Bank of America, N.A.
Banking products are provided by Bank of America, N.A. and affiliated banks, Members FDIC and wholly owned subsidiaries of Bank of America Corporation.
© 2026 Bank of America Corporation. All rights reserved.
