Pensacola, FL

Data Jobs in Pensacola, FL

7 jobs found

Include remote jobs

1mo ago

Associate Data Scientist

Navy Federal Credit Union Pensacola, FL

Pensacola, FL

1mo ago Closed

$70k - $118k/yr Full time Ai Ml Big Data Data Analysis

This position is no longer accepting applications (closed Oct 26, 2026).

Job Description

Entry-level opportunity to apply machine learning, analytics, and routine predictive modeling to uncover patterns and improve decision-making across the organization.

Responsibilities

Design, develop, and evaluate routine predictive models and algorithms
Analyze and interpret data results with limited complexity
Develop and code routine software programs, algorithms, and automated processes
Use modeling and trend analysis to identify and assess patterns
Support and participate in team projects and organizational initiatives
Document and present findings using effective written and verbal communication

Requirements

Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a similar quantitative field
1 to 2 years of experience in exploratory data analysis
Statistics
Programming, data modeling, simulation, and mathematics
SQL and one or more of: R, Python, Hadoop, SAS, SPSS, Scala
AWS experience
Ability to execute the model lifecycle
Technical writing skills
Data storytelling and technical presentation skills
Research skills
Interpersonal skills
Model development capability
Communication and critical thinking
Collaborate and build relationships
Initiative with sound judgment
Technical skills aligned to areas such as Big Data analysis, coding, project management, and technical writing
Problem-solving approach that responds to issues as they are identified

Desired Qualifications

Master’s Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering

Technology Stack

SQL
R
Python
Hadoop
SAS
SPSS
Scala
AWS

Work Schedule

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

Location

Onsite: Pensacola, FL
820 Follin Lane, Vienna, VA 22180
5510 Heritage Oaks Drive, Pensacola, FL 32526
141 Security Drive, Winchester, VA 22602

Salary: USD 70,000 to 118,050 per year

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1mo ago

Principal Data Scientist (Credit Risk Forecasting)

Navy Federal Credit Union Pensacola, FL

Pensacola, FL

1mo ago Closed

$115k - $180k/yr Full time Senior Big Data CECL

This position is no longer accepting applications (closed Oct 22, 2026).

Job Description

Develop and deploy CECL and credit risk forecasting models that support mission critical decision making. At Navy Federal Credit Union, you will lead complex, independent data science work for consumer lending portfolios, pairing advanced analytics with clear communication to help stakeholders understand risk and reserve implications.

This onsite role is based in Pensacola, FL (Monday to Friday, 8:00AM to 4:30PM). The salary range is $114,500 to $179,500 per year. Please note: Navy Federal Credit Union does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

What you’ll do

Contribute to the end-to-end CECL model lifecycle for consumer lending portfolios, including development, implementation, execution, monitoring, documentation, and governance
Design, develop, and evaluate large and complex predictive models and advanced algorithms, including post-model adjustment
Test hypotheses and models, then analyze and interpret results to inform selection of the right course of action
Create actionable insights and recommendations derived from exploratory data analysis across complex, high-dimensional datasets
Develop and code complex software programs, algorithms, and automated processes to support model work
Use evaluation, judgment, and interpretation to handle problems of diverse scope requiring identifiable factor analysis
Communicate findings through effective written and verbal documentation for a diverse set of stakeholders
Lead moderate to large projects and initiatives, working with senior management on complex issues
Serve as a technical resource to other team members and mentor junior staff on credit risk forecasting and financial performance assessments
Model best practices and ethical AI, and support development and enhancement of practices, procedures, and instructions
Assist with ongoing model production processes, including support for validation and governance activities

What you bring

6+ years of experience with requisite competencies
Complete knowledge and full understanding of specialization
Strong background in statistics, machine learning, data mining, data auditing, aggregation, reconciliation, and visualization
Proficiency in programming, data modeling, simulation, and advanced mathematics
Experience using tools such as Python, R, SAS, SQL, Hadoop, SPSS, Scala, and AWS
Experience executing the model lifecycle and producing technical writing deliverables
Data storytelling and technical presentation skills
Advanced knowledge of CECL reserving, credit loss forecasting, and Model Risk Management guidelines
Familiarity with consumer lending portfolios including credit card, auto, secured consumer lending, unsecured consumer lending, mortgage, or home equity
Experience with loan-level or account-level credit loss modeling techniques such as probability of default, loss given default, exposure at default, prepayment, survival/hazard, and competing risk models
Experience implementing controlled model production processes including version control, data validation, reconciliation, monitoring, documentation, and change management
Experience responding to Model Risk Management validation and review requests (internal audit, external audit, regulatory, accounting, or control review)
Advanced knowledge of federal and state laws governing credit card, secured consumer lending, and unsecured consumer lending
Advanced knowledge of banking and financial industry trends, products, services, credit cycles, portfolio performance drivers, and reserve implications
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a similar quantitative field
Master’s/PhD in Data Science, Economics, Statistics, Mathematics, Computer Science, or Engineering (preferred by requirement set)
Research, communication, critical thinking, initiative with sound judgment, interpersonal skills, independent judgment, and problem-solving skills

TalentQuest employee referral program: This position is eligible for the TalentQuest employee referral program.

Locations listed: 820 Follin Lane, Vienna, VA 22180 and 5510 Heritage Oaks Drive, Pensacola, FL 32526.

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2mo ago

Data Scientist

Navy Federal Credit Union Pensacola, FL

Pensacola, FL

2mo ago Closed

$80k - $136k/yr Full time Python Analytics Artificial Intelligence

This position is no longer accepting applications (closed Sep 23, 2026).

Job Description

Navy Federal Credit Union offers a role for an analyst who enjoys turning data into practical, business-ready insights. This onsite position in Pensacola, FL supports work with machine learning, programming, data modeling, and advanced mathematics to uncover patterns and communicate performance and trends across the organization.

Schedule: Monday to Friday, 8:00AM - 4:30PM. Salary range: USD 80,400 - 135,600 per year, with pay determined by experience, location, and market position.

Responsibilities

Design, develop, and evaluate basic/routine predictive models and algorithms with some complexity
Analyze and interpret results with some complexity using modeling and trend analysis
Develop and code basic software programs, algorithms, and automated processes
Collaborate with team members and participate in team projects and initiatives
Document and present findings using effective written and verbal communication
Apply limited judgment and discretion within defined procedures and practices
Execute routine assignments with increasing scope and complexity

Requirements

Bachelor’s Degree in Data Science/Statistics/Mathematics/Computer Science/Engineering or similar quantitative field
2-3 years of experience in exploratory data analysis
Experience with statistics, model development, and model lifecycle execution
Strong data storytelling and visualization skills, with the ability to translate complex findings into clear, actionable insights for non-technical stakeholders
Proven experience developing and optimizing automated reporting, including dashboards and visualizations in Tableau/Power BI/Excel to communicate performance, trends, and business insights
Hands-on technical foundation across programming, data modeling, simulation, and mathematics
Proficiency with SQL and one or more of: R, Python, Hadoop, SAS, SPSS, Scala, AWS
Technical writing and research skills
Critical thinking, interpersonal skills, and the ability to collaborate and build relationships
Initiative with sound judgment, plus problem-solving as issues are identified

Preferred Qualifications

Master’s Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering

Tech Stack

Tableau, Power BI, Excel
SQL, R, Python
Hadoop, SAS, SPSS, Scala
AWS

Location

820 Follin Lane, Vienna, VA 22180
5510 Heritage Oaks Drive, Pensacola, FL 32526

Note on work authorization: This role requires applicants to be authorized to work in the United States without the need for current or future sponsorship.

Important Notices

Navy Federal reserves the right to fill this role at a higher or lower grade level based on business need.
An assessment may be required to compete for this position.
Job postings may close early or extend beyond the anticipated closing date based on applicant volume.
Navy Federal posts jobs on jobs.navyfederal.org and reputable job boards (for example, LinkedIn and Indeed). Do not rely on social media marketplaces, messaging apps, or unverified websites.
Navy Federal will never ask candidates for payment, bank details, or personal financial information during the hiring process.
Bank Secrecy Act policies and procedures are followed.
Accommodations are available: contact medicalaccommodations@navyfederal.org or call 1-888-503-6013.

Equal Employment Opportunity

All qualified applicants receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity, or any other basis protected by applicable law.

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2mo ago

Senior Data Scientist (Internal Audit Product Engineering)

Navy Federal Credit Union Pensacola, FL

Pensacola, FL

2mo ago Closed

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

This position is no longer accepting applications (closed Sep 20, 2026).

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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2mo ago

Senior Data Scientist (Internal Audit Model & AI Risk)

Navy Federal Credit Union Pensacola, FL

Pensacola, FL

2mo ago Closed

$99k - $156k/yr Full time Senior Ai Risk Artificial Intelligence

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Lead independent internal audit reviews focused on AI and model risk at Navy Federal Credit Union.

Responsibilities

Assess AI and model governance activities, including inherent risk ratings, model validations, materiality of model changes, and ongoing performance monitoring
Plan and conduct independent internal audit engagements covering AI products, AI-enabled systems, and models, coordinating scope, timelines, stakeholder expectations, and communication
Develop and execute model testing plans using specialized model risk knowledge and technical approaches
Evaluate model development, implementation, and use across conceptual soundness, assumptions, methodology, limitations, data quality, and monitoring
Extract meaningful insights from large data and metadata sources
Test hypotheses, analyze results, and interpret findings using sound judgment within defined procedures
Develop and code moderately complex software programs, algorithms, and automated processes to support analysis and assurance activities
Use modeling and trend analysis to analyze data and produce insights
Apply understanding of best practices and ethical AI
Transform data into charts and tables that support effective decision making
Build working relationships with team members and subject matter experts; lead small projects and initiatives
Document and present analysis findings using effective written and verbal communication for diverse stakeholders
Provide independent assurance through assessments of complex data science, machine learning, generative AI, and agentic AI capabilities across the organization
Evaluate relevant ecosystems by reviewing governance frameworks, risk management practices, AI/model lifecycle controls, and oversight effectiveness across first and second lines of defense
Assess risks tied to advanced analytics and AI-enabled solutions, including complexity, uncertainty, transparency, and operational risk
Act as a subject matter expert to Internal Audit, senior management, and business partners on end-to-end AI/model lifecycle management, monitoring, regulatory expectations, and industry practices

Requirements

5-7 years experience in data analysis, statistical modeling, or regression analysis, including language models, LLMs, and/or Generative AI technologies
Basic understanding of business and operating environment
Statistics
Programming, data modeling, simulation, and advanced mathematics
SQL and at least one of: R, Python, Hadoop, SAS, SPSS, Scala
Knowledge of AI platforms and ecosystems supporting machine learning, generative AI, and LLM-enabled systems, including Microsoft Copilot Studio, Azure AI Foundry, AWS, and Databricks
Model lifecycle execution including model development, validation, and governance
Technical writing; data storytelling and technical presentation skills
Research skills, interpersonal skills, and working knowledge of procedures, instructions, and validation techniques
Communication, critical thinking, collaboration and relationship building, and initiative using sound judgment
Technical capabilities such as Big Data analysis, coding, project management, and technical writing
Problem solving with responsiveness to issues and problems as identified
Bachelor’s degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or similar quantitative fields

Technologies

SQL, R, Python, Hadoop, SAS, SPSS, Scala
Microsoft Copilot Studio, Azure AI Foundry, AWS, Databricks
LLMs, Generative AI

Additional Information

Location: Pensacola, FL (onsite)
Address: 5510 Heritage Oaks Drive, Pensacola, FL 32526
Salary: USD 99,400 - 155,850 per year
Hours: Monday - Friday, 8:00AM - 4:30PM
Sponsorship: Navy Federal Credit Union currently does not provide sponsorship for this role
Work authorization: Applicants must be authorized to work in the United States without current or future sponsorship
Referral eligibility: This position is eligible for the TalentQuest employee referral program

Desired Qualifications

Experience with model validation/model risk management, AI and agentic risk management, enterprise risk management, or internal audit
Deep knowledge of SR 11-7 and/or ASOP 56
Understanding of model practices used in credit risk management, fraud detection, BSA/AML, operations, treasury & finance, and marketing models
Knowledge of regulations and frameworks including CECL, CCAR, Anti-Money Laundering, ECOA, FCRA, NIST AI Risk Management Framework, and ISO/IEC 42001 Artificial Intelligence Management System
Advanced knowledge of Navy Federal Credit Union instructions, standards, and procedures
Master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related area

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3mo ago

Data Analyst

System One Pensacola, FL

Pensacola, FL

3mo ago Closed

Contract Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Aug 11, 2026).

Job Description

System One is seeking a Data Analyst for a contract role in Pensacola, FL with a hybrid onsite/remote arrangement. This position emphasizes data quality, governance, and analytics to support business intelligence and data science initiatives, offering collaboration with senior staff and opportunities to influence key business outcomes.

Responsibilities

Help shape technical requirements such as data definitions, business rules, and data quality standards; perform data UAT and investigations into accuracy, validation, and data integrity.
Verify deliverable reporting by conducting quality data audits and analyses to ensure compliance with requirements.
Source and assemble datasets using diverse tools to forecast, improve, and measure key business-to-business outcomes.
Document data collection, cleaning, and governance procedures, maintaining comprehensive records to ensure transparency, repeatability, and governance compliance.
Clean and structure raw data and generate descriptive statistics to support business intelligence and data science projects.
Collaborate with senior staff to present findings and insights to stakeholders.
Work with team members on projects and initiatives to advance analytic efforts.
Conduct data research and develop data queries for smaller analytics projects.

Requirements

2-5 years of experience in data analysis and reporting.
Basic understanding of the business and operating environment.
Proficiency in data manipulation and scripting languages such as SQL, Python, or R, plus advanced data cleaning and preprocessing techniques and tools.
Strong analytical techniques for data usage and data cleaning.
Ability to interpret, extrapolate, and interpolate data for statistical research and modeling.
Knowledge of various data structures and the ability to extract data sources using visualization tools such as PowerBI and Excel.
Knowledge of data governance principles and practices.
Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or degrees in similar quantitative fields.
Technologies involved include SQL, Python, R, PowerBI, and Excel.

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3mo ago

Data Engineer

Navy Federal Credit Union Pensacola, FL

Pensacola, FL

3mo ago Closed

$78k - $123k/yr Full time Azure Data Factory Azure Databricks Azure Synapse Analytics

This position is no longer accepting applications (closed Jul 28, 2026).

Job Description

At Navy Federal Credit Union, the Data Engineer role centers on shaping the data that powers lending operations. This onsite position in Pensacola focuses on building and refining data pipelines, ensuring data quality and reliability, and collaborating with business partners to translate data into actionable insights.

Compensation

USD 78,400 - 123,200 per yearly

Responsibilities

Develop and maintain data pipelines and workflows to support business and data initiatives
Design and build scalable data pipelines for data collection, integration, and storage
Develop scripts, stored procedures, and jobs to automate data loads and processes
Implement data processing tasks and ensure data integrity and reliability
Optimize existing data workflows for performance and efficiency
Ensure data quality and performance at scale across data platforms
Maintain high availability, scalability, and reliability of data systems
Apply query optimization techniques including execution plan analysis, indexing, and partitioning
Collaborate with team members and business units on projects and data initiatives
Contribute to the development and enforcement of data engineering standards, policies, and best practices
Support data governance, metadata management, and data quality initiatives
Assist with database administration activities, including upgrades and migrations
Support reporting and analytics use cases, including Power BI development
Participate in Agile ceremonies and contribute to backlog refinement and delivery planning
Continuously improve processes and identify opportunities for automation and optimization

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
5+ years of experience in data engineering or a related field
Strong experience with SQL, xml/JSON, SSIS, Azure (Synapse, Data Factory, Databricks) and PySpark
Strong Experience with data integration, data processing tools, and ETL frameworks
Experience developing scripts, stored procedures, and automation jobs
Experience with query optimization, execution plans, indexing, and partitioning
Understanding of data warehousing concepts and data system design
Working knowledge of data engineering principles, technologies, and architectures
Working knowledge of Azure DevOps (ADO) backlogs and Agile delivery (SAFe, Scrum, Kanban)
Working knowledge of SQL Server administration and database upgrades/migrations
Basic knowledge of Power BI reporting and data visualization
Strong problem-solving, communication, and collaboration skills

Technologies

SQL
XML
JSON
SSIS
Azure Synapse
Azure Data Factory
Databricks
PySpark
Power BI
Azure DevOps
SQL Server

Hours

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

Locations

820 Follin Lane, Vienna, VA 22180
5550 Heritage Oaks Drive, Pensacola, FL 32526

About Us

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Newsweek America’s Greatest Workplaces for Culture, Belonging and Community 2026

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Data Jobs in Pensacola, FL

Associate Data Scientist

Principal Data Scientist (Credit Risk Forecasting)

Data Scientist

Senior Data Scientist (Internal Audit Product Engineering)

Senior Data Scientist (Internal Audit Model & AI Risk)

Data Analyst

Data Engineer

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