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Process Optimization Internship Jobs in Laurel, MD

Crowe LLP

Machine Learning Intern

Washington, DC

$27 - $42/hr

... an internship: Anomaly detection using deep neural networks Numerical optimization applied to ... development processes and agile/scrum rituals Helping to clarify and prioritize work, define ...

Beth Page tech

Software Engineer

Maryland City, MD · Remote

Troubleshoot and debug software issues to ensure optimal performance. * Participate in code reviews ... Basic programming experience (e.g., internships, academic projects, or professional work)

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Process Optimization Internship information

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$13

$21

$29

How much do process optimization internship jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for process optimization internship in Laurel, MD is $21.99, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $25.72 per hour, depending on experience, location, and employer.

What is a process optimization internship?

A Process Optimization Internship is a temporary position, often for students or recent graduates, where you assist organizations in analyzing and improving their business processes. Interns work under the guidance of experienced professionals to identify inefficiencies, suggest solutions, and sometimes help implement new strategies or technologies. This role often involves data analysis, process mapping, and collaboration with various departments to streamline operations and increase efficiency. Process Optimization Internships are common in industries like manufacturing, logistics, consulting, and finance. The goal is to gain practical experience while contributing to the organization's continuous improvement initiatives.

What types of projects can I expect to work on during a process optimization internship?

As a Process Optimization Intern, you'll typically be involved in projects that analyze and improve operational workflows within the company. This may include mapping current processes, identifying inefficiencies, collecting and analyzing data, and proposing actionable solutions. Interns often collaborate with cross-functional teams, such as operations, engineering, and quality assurance, to gather insights and implement improvements. These hands-on projects provide valuable exposure to real-world problem-solving and can help build a foundation for a career in process improvement or operations management.

What are the key skills and qualifications needed to thrive as a process optimization intern, and why are they important?

To thrive as a Process Optimization Intern, you need a solid understanding of process analysis, data interpretation, and problem-solving, often supported by coursework in industrial engineering, operations management, or related fields. Familiarity with tools like Microsoft Excel, process mapping software (such as Visio), and data analytics platforms is typically required. Strong communication, attention to detail, and a proactive mindset help interns effectively collaborate with teams and identify improvement opportunities. These skills are crucial for analyzing current workflows and implementing solutions that enhance efficiency and productivity.

What is the difference between Process Optimization Internship vs Process Improvement Specialist?

AspectProcess Optimization InternshipProcess Improvement Specialist
Required CredentialsTypically pursuing or recent graduate in engineering, business, or related fieldsBachelor's or master's in similar fields, with some certifications preferred
Work EnvironmentInternship setting, often in corporate or manufacturing environmentsFull-time role in corporate, manufacturing, or consulting firms
Employer & Industry UsageUsed in companies seeking interns to support process projectsFull-time position focused on analyzing and improving processes
Search & Comparison IntentEntry-level, learning-focused roleProfessional role with ongoing responsibilities

The Process Optimization Internship is an entry-level, temporary position designed for students or recent graduates gaining experience in process improvement. In contrast, a Process Improvement Specialist is a full-time professional responsible for analyzing and enhancing business processes. While both roles focus on process efficiency, the internship emphasizes learning and support, whereas the specialist role involves independent project management and strategic improvements.

What job categories do people searching Process Optimization Internship jobs in Laurel, MD look for?

The top searched job categories for Process Optimization Internship jobs in Laurel, MD are:

What cities near Laurel, MD are hiring for Process Optimization Internship jobs?

Cities near Laurel, MD with the most Process Optimization Internship job openings:

Process Optimization Internship jobs near you
Infographic showing various Process Optimization Internship job openings in Laurel, MD as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $45,747 per year, or $22 per hour.

Senior Data Scientist

Navy Federal Credit Union

Vienna, VA • On-site

Full-time

Posted 4 days ago

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 276 frontline employees who took The Breakroom Quiz

65th of 154 rated financial services

Job description

Navy Federal Credit Union currently 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.

Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science. 

This role supports risk and compliancefocused analytics, including the evaluation of models, policies, and business practices for potential fair lending and consumer compliance risk. The Senior Data Scientist will conduct descriptive, predictive, and prescriptive analyses to assess outcomes, test assumptions, and identify potential bias, while partnering with stakeholders to support responsible and compliant business decisions.

Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

  • 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
  • 2025 PEOPLE Companies That Care
  • Newsweek Most Trustworthy Companies in America
  • Military Times 2025 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

From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

Equal Employment Opportunity: All qualified applicants will 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.

Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.

Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
  • 3-5 years of experience in exploratory data analysis
  • Basic understanding of business and operating environment
  • Statistics
  • Programming, data modeling, simulation, and advanced mathematics 
  • SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
  • Model lifecycle execution
  • Technical writing
  • Data storytelling and technical presentation skills
  • Research Skills
  • Interpersonal Skills
  • Working knowledge of procedures, instructions, and validation techniques
  • Model Development
  • Communication
  • Critical Thinking
  • Collaborate and Build Relationships
  • Initiative with sound judgement
  • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
  • Sound Judgment
  • Problem Solving (Responds as problems and issues are identified)

Desired Qualifications 

  • Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field
  • Experience supporting compliance, risk, or fair lending analytics in a financial services environment
  • Familiarity with fair lending or consumer protection laws (e.g., ECOA, FHA) and evaluating models or policies for potential bias
  • Experience assessing or validating models, including machine learning models, for fairness or governance considerations

Additional Information

Hours:

  • Monday - Friday, 8:00AM - 4:30PM

Location:

  • 820 Follin Lane, Vienna, VA 22180
  • 5510 Heritage Oaks Drive, Pensacola, FL 32526
  • 141 Security Drive, Winchester, VA 22602 
  • Evaluate moderately complex predictive models and advanced algorithms 
  • Identifies meaningful insights from large data and metadata sources
  • Test hypotheses/models, analyze, interpret, and document results
  • Review input data, assumptions, and outcomes of models and analytical frameworks to assess potential risk and fairness considerations. Exercise sound judgment and discretion within defined procedures and practices
  • Develop and code moderately complex software programs, algorithms, and automated processes
  • Use modeling and trend analysis to analyze data and provide insights
  • Develop understanding of best practices and ethical AI
  • Transform data into charts, tables, or format that aids effective decision making
  • Build working relationships with team members, business partners, compliance, legal,  and subject matter experts
  • Lead small projects and initiatives
  • Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders

What Navy Federal Credit Union employees say

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About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933

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