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Today

Senior Data Scientist (Internal Audit Product Engineering)

Navy Federal Credit Union Winchester, VA

Winchester, VA

Today

$99k - $156k/yr Full time Artificial Intelligence Audit Analytics Big Data

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Job Description

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

Responsibilities

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

Requirements

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

Technologies

SQL, R, Python
Hadoop, SAS, SPSS, Scala
AWS
Alteryx, Databricks
Azure Data Lake
Microsoft Copilot Studio, Power Automate, Power Apps
Azure AI Foundry
Pandas, NumPy, PySpark, Scikit-learn
Power BI

Desired Qualifications

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

Location and Schedule

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

Additional Information

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

Disclaimers

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

Protect Yourself From Job Scams

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

Bank Secrecy Act

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

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Today

Senior Data Scientist (Internal Audit Product Engineering)

Navy Federal Credit Union Pensacola, FL

Pensacola, FL

Today

$99k - $156k/yr Full time Agentic Ai Ai Agent Analytics

Apply Now

Job Description

Navy Federal Credit Union is seeking a Senior Data Scientist to support Internal Audit decision-making through audit-focused data products, automation, and AI-enabled solutions. In this onsite role based in the Pensacola, FL area, you will contribute to analytics that span the audit lifecycle while reinforcing data governance, data quality, and responsible AI practices.

Role overview

You will develop and improve data products and analytical capabilities used by Internal Audit teams, including models, dashboards, pipelines, and automation. The work includes building agentic AI and workflow automation solutions to drive efficiencies across audit activities, as well as supporting automated control testing and continuous monitoring initiatives.

Responsibilities

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 understand requirements and translate business challenges into scalable analytical solutions
Support automated control testing, population-based analytics, and audit automation initiatives, including continuous monitoring
Apply modeling and trend analysis to analyze data and provide actionable insights
Use data to produce charts, tables, or other formats that support effective decision-making
Maintain alignment with best practices and ethical AI practices
Build working relationships with team members and subject matter experts
Lead small projects and initiatives
Use written and verbal communication to document and present analysis findings to diverse stakeholder audiences

Required qualifications

3 to 5 years of experience in exploratory data analysis
Basic understanding of business and operating environment
Strong foundation in statistics
Programming and technical skills across data modeling, simulation, and advanced mathematics
Experience with SQL and at least one of: R, Python, Hadoop, SAS, SPSS, Scala
Model lifecycle execution experience
Technical writing, data storytelling, and technical presentation skills
Research, interpersonal, communication, critical thinking, collaboration, initiative with sound judgment, and problem-solving
Working knowledge of procedures, instructions, and validation techniques
Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative fields

Technologies

SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
Alteryx, Databricks, Azure Data Lake
Microsoft Copilot Studio, Power Automate, Power Apps, Azure AI Foundry
Power BI
Pandas, NumPy, PySpark, Scikit-learn

Desired qualifications

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 data science libraries such as Pandas, NumPy, PySpark, Scikit-learn (or similar) 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 an innovation mindset, including identifying opportunities to automate manual processes

Work schedule

Monday - Friday, 8:00AM - 4:30PM

Location

5510 Heritage Oaks Drive, Pensacola, FL 32526

Compensation: USD 99,400 - 155,850 per yearly.

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Audit Analytics Data Jobs

Senior Data Scientist (Internal Audit Product Engineering)

Senior Data Scientist (Internal Audit Product Engineering)

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