Data Scientist Summer Associate

Job Description

About the Company (Navy Federal Credit Union)

Navy Federal Credit Union is a large financial institution that offers much more than a job, providing a meaningful career experience with an energized, engaged, and committed culture. They deeply appreciate their teams, rewarding them with highly competitive pay and generous benefits and perks. Their mission is simple yet powerful: “Make our mission your passion.”

Navy Federal has received numerous accolades, including:
• Fortune 100 Best Companies to Work For 2025
• Yello and WayUp Top 100 Internship Programs
• Computerworld® Best Places to Work in IT
• Newsweek Most Loved Workplaces
• Fortune Best Workplaces for Women ™ 2024
• 2025 PEOPLE® Companies That Care
• Newsweek Most Trustworthy Companies in America
• Military Times 2024 Best for Vets Employers
• Best Companies for Latinos to Work for 2025
• Forbes® 2025 America’s Best Large Employers
• Forbes® 2025 America’s Best Employers for New Grads
• Forbes® 2025 America’s Best Employers for Tech Workers
• 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
• Military.com Top Military Spouse Employers 2025
• 2025 Handshake Early Talent Award

Navy Federal emphasizes Equal Employment Opportunity, considering all qualified applicants without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity, or any other legally protected basis. They reserve the right to fill roles at higher/lower grade levels, and an assessment may be required. They establish competitive salary ranges based on market data, experience, location, and market position. They also provide strong warnings against job scams, stating they only post on their career site and reputable job boards, and will never ask for payment, bank details, or personal financial information during the hiring process. Adherence to the Bank Secrecy Act is also a key policy.

About the Job: Data Scientist Summer Associate (Lensa Platform)

This job posting for a Data Scientist Summer Associate is promoted by Lensa, a career site that helps job seekers find jobs in the US. Lensa is not a staffing firm or agency and does not hire directly for these jobs. Instead, Lensa promotes jobs on platforms like LinkedIn on behalf of direct clients, recruitment ad agencies, and marketing partners. For this specific role, Lensa partners with DirectEmployers to promote the job for Navy Federal Credit Union. Clicking “Apply Now” or “Read more” on Lensa will redirect you to the job board/employer site, where any information collected will be subject to their terms and privacy notice.

Overview of the Role:

Navy Federal Credit Union is seeking a highly motivated and detail-oriented Data Scientist Summer Associate to join their Workforce Intelligence (WFI) team within Contact Center Operations (CCO). This is a 12-week internship program running from May 2026 to August 2026, designed for graduate-level students passionate about data, analytics, and solving real-world business problems. Interns will work on impactful projects that drive strategic decision-making and operational efficiency across the organization.

The Workforce Intelligence (WFI) team is a cross-functional, highly technical group comprising Data Scientists, Data Analysts, Application Developers, Data Stewards, Technical Writers, and Lead Systems Analysts. It operates as a support team for both operational and analytical functions within Contact Center Operations. The team’s responsibilities include managing databases and servers, building and maintaining ETL pipelines, developing custom applications, automating manual workflows, and creating data models to generate actionable insights that identify opportunities for process improvement, efficiency gains, and strategic decision-making.

Current Data Science Projects that Summer Associates may contribute to include:

• Battery Life Model: Aims to model employee retention probabilities using behavioral, performance, and engagement metrics to forecast attrition risk, helping leadership proactively address retention challenges.
• FTE/Contractor Ratio Optimization: Evaluates historical staffing patterns, cost structures, and performance to determine the most effective balance between Full-Time Employees (FTEs) and Contractors for strategic workforce decisions.
• CCO Scenario Simulator: An interactive tool allowing stakeholders to adjust variables (staffing, call volumes, service levels) to project impacts on metrics like Average Speed of Answer, Staffing Requirements, and workload projections, supporting data-driven scenario planning.
• MSR Shift Optimization: Analyzes Member Services Representative (MSR) availability and preferences against service demand to identify opportunities for shift realignment, aiming to enhance employee satisfaction while maintaining service levels.

To qualify, applicants must be currently pursuing a graduate-level degree or planning to enroll, with an anticipated graduation date of December 2026 or later.

Key Responsibilities of the Summer Associate:

• Collaborate with cross-functional teams to understand business challenges and translate them into data-driven solutions.
• Perform data cleaning, preprocessing, and exploratory data analysis (EDA) to uncover insights.
• Develop and deploy interactive dashboards and visualizations using tools like Power BI and Dash Apps.
• Write efficient and scalable code in Python and SQL for data manipulation and analysis.
• Apply statistical methods and machine learning techniques to model and predict business outcomes.
• Document findings, methodologies, and present results to stakeholders clearly and compellingly.
• Contribute to the development of data pipelines and cloud-based analytics solutions.

Qualifications:

• Must be currently enrolled in, or planning to enroll in, a graduate-level program (Master’s) in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a closely related field following completion of undergraduate studies.
• Proficiency in Python and SQL.
• Experience with data cleaning and exploratory data analysis (EDA).
• Familiarity with data visualization tools such as Power BI and Dash.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Qualifications:

• Experience with R programming.
• Background in statistics, mathematics, or machine learning.
• Exposure to big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., Azure, AWS, GCP).
• Understanding of version control systems like Git.

What You’ll Gain:

• Hands-on experience solving real business problems using data science.
• Mentorship from experienced professionals in analytics and business intelligence.
• Exposure to enterprise-level tools and technologies.
• Opportunity to present your work to senior leadership.
• A collaborative and inclusive work environment.

Hours and Location:

• Hours: Monday – Friday, 8:00 AM – 4:30 PM.
• Locations: 820 Follin Lane, Vienna, VA 22180 OR 5550 Heritage Oaks Dr, Pensacola, FL 32526.