Use data-driven insights and AI-enabled automation to support Internal Audit strategy through audit lifecycle analytics and product engineering.

Develop, maintain, and enhance data products, data pipelines, analytical models, dashboards, and automation solutions for Internal Audit analytics and decision-making
Design, build, and enhance agentic AI and workflow automation solutions using AI technologies to improve audit process efficiency
Partner with auditors, business stakeholders, and technology teams to gather requirements and translate business needs into scalable analytical solutions
Support automated control testing, population-based analytics, continuous monitoring, and audit automation initiatives
Apply modeling and trend analysis to analyze data and produce insights
Develop practical understanding of best practices and ethical AI
Transform data into charts, tables, or decision-ready formats
Build effective working relationships with team members and subject matter experts
Lead small projects and initiatives
Use effective written and verbal communication to document and present analysis findings to a diverse group of stakeholders

3-5 years of experience in exploratory data analysis
Basic understanding of business and operating environment
Background in statistics, programming, data modeling, simulation, and advanced mathematics
SQL and at least one of: R, Python, Hadoop, SAS, SPSS, Scala, AWS
Experience executing the model lifecycle
Technical writing and data storytelling with technical presentation skills
Research skills and interpersonal skills
Working knowledge of procedures, instructions, and validation techniques
Model development, communication, and critical thinking
Collaborate and build relationships; show initiative with sound judgment
Technical capabilities (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
Sound judgment, problem solving, and responsive issue handling as problems and issues are identified
Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative fields

Master’s/PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering
Experience with Alteryx, Databricks, Azure Data Lake, Microsoft Copilot Studio, Power Automate, Power Apps, and Azure AI Foundry
Experience using Python and related libraries such as Pandas, NumPy, PySpark, Scikit-learn, or similar frameworks for data analysis, automation, and model development
Experience building dashboards and reporting solutions using Power BI or similar visualization tools
Experience managing end-to-end product and solution lifecycle, including requirements gathering, solution design, testing, UAT, deployment, and ongoing support
Knowledge of data governance, data quality controls, data lineage, and data management best practices
Experience working within audit, risk management, compliance, or financial services
Experience working in Agile product development environments and collaborating with cross-functional teams
Demonstrated curiosity and innovation mindset, including ability to identify opportunities to automate manual processes

Winchester, VA (onsite)
Hours: Monday - Friday, 8:00AM - 4:30PM
Addresses: 820 Follin Lane, Vienna, VA 22180; 5510 Heritage Oaks Drive, Pensacola, FL 32526; 141 Security Drive, Winchester, VA 22602

Salary range: USD 99,400 - 155,850 per year
No sponsorship: Applicants must be authorized to work in the United States without current or future sponsorship
TalentQuest employee referral program eligibility: eligible

Navy Federal may fill this role at a higher or lower grade level based on business need
An assessment may be required to compete
Posting may close early or extend based on applicant volume
Market data is used to establish salary ranges; review the Benefits page of the Navy Federal Career Site for compensation and benefits details

Navy Federal jobs are posted on jobs.navyfederal.org and reputable job boards (for example, LinkedIn, Indeed)
Jobs are not posted on social media marketplaces, messaging apps, or unverified websites
No payment, bank details, or personal financial information will be requested during hiring

Role remains cognizant of and adheres to Navy Federal policies, procedures, and regulations pertaining to the Bank Secrecy Act

Senior Data Scientist (Internal Audit Product Engineering)

Job Description