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Applied Math Internships Jobs in Virginia (NOW HIRING)

Intern, AI Adoption

Reston, VA · On-site

$25 - $27/hr

The CISD summer internship program is designed to provide skills, knowledge, and hands-on work ... applied mathematics, or equivalent. * Experience or coursework in generative Artificial ...

... Engineering, Mathematics, or a closely related quantitative field. * This is a hybrid role in ... internships, or realworld projects involving applied machine learning. #LI-WA1 #LI-HYBRID

... Engineering, Mathematics, or a closely related quantitative field. * This is a hybrid role in ... internships, or real-world projects involving applied machine learning. #LI-WA1 #LI-HYBRID ...

Applied Math Internships information

What are the key skills and qualifications needed to thrive in Applied Math Internships, and why are they important?

To thrive in Applied Math Internships, you need strong mathematical reasoning, problem-solving abilities, and coursework in calculus, linear algebra, and statistics. Familiarity with programming languages like Python, MATLAB, or R, as well as data analysis tools, is often required. Effective communication, collaboration, and adaptability help interns present findings and work within interdisciplinary teams. These skills and qualities are essential for translating mathematical theory into practical solutions and contributing effectively to research or business projects.

What types of projects can I expect to work on during an Applied Math internship?

As an Applied Math intern, you’ll typically work on real-world problems that require mathematical modeling, data analysis, and algorithm development. Projects may include optimizing business processes, analyzing large datasets, or developing simulations for engineering or financial applications. Interns often collaborate with interdisciplinary teams that include data scientists, engineers, and business analysts, giving you exposure to practical applications of mathematical theories. This hands-on experience helps build both technical and communication skills, which are valuable for future career growth.

What are applied math internships?

Applied math internships are short-term opportunities for students or recent graduates to gain practical experience using mathematical theories and methods to solve real-world problems in various industries. These internships often involve working on projects related to data analysis, modeling, optimization, or statistical research. They provide valuable hands-on experience, help build professional networks, and can be a stepping stone to a full-time career in fields like finance, technology, engineering, or research. Interns typically collaborate with professionals, learn new software tools, and apply classroom knowledge to practical challenges.

What is the difference between Applied Math Internships vs Data Analyst Internships?

AspectApplied Math InternshipsData Analyst Internships
Required CredentialsMathematics, statistics, or related degrees; programming skillsStatistics, data analysis, programming, often with business focus
Work EnvironmentResearch labs, tech companies, finance, academiaBusiness, finance, marketing, tech firms
Employer & Industry UsageResearch institutions, tech companies, finance firmsCorporations, consulting firms, marketing agencies
Common Search & Comparison IntentUnderstanding internship roles in applied mathExploring data analysis internship opportunities

Applied Math Internships focus on mathematical modeling, algorithm development, and research, often in academic or research settings. Data Analyst Internships emphasize data interpretation, visualization, and business insights, typically within corporate environments. While both roles require analytical skills and programming knowledge, they serve different industry needs and career paths.

What are popular job titles related to Applied Math Internships jobs in Virginia? For Applied Math Internships jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Applied Math Internships job openings in Virginia as of May 2026, with employment types broken down into 13% Internship, 49% Full Time, and 38% Part Time. Highlights an 75% In-person, and 25% Remote job distribution.
National Security Solutions (NSS) Internship - AI/ML Intern

National Security Solutions (NSS) Internship - AI/ML Intern

KBR

Chantilly, VA

$15.25 - $20.50/hr

Part-time

Posted 19 days ago


KBR rating

8.7

Company rating: 8.7 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

48th of 351 rated engineering


Job description

Title:

National Security Solutions (NSS) Internship - AI/ML Intern

Who We Are

KBR Mission Technical Solutions delivers full life cycle professional and technical solutions that improve operational readiness and drive innovation. Our solutions help ensure mission success on land, air, sea, space and cyberspace for the Department of Defense, Intelligence Community, NASA and other federal agencies. KBR's areas of expertise include engineering, logistics, operations, science, program management, mission IT and cybersecurity. KBR strives to create a safer, more secure and sustainable world by bringing together the best and brightest to deliver technologies and solutions that help our customers accomplish their most critical missions and objectives.

The Mission Ahead

This role is with KBR's Mission Tech Solutions (MTS). At KBR MTS, we don't just envision a world that's safer, more secure, and sustainable - we create it. Our legacy of delivering advanced full life cycle professional and technical solutions is matched only by our commitment to operational readiness and innovation. As stewards of critical missions for the Department of Defense, Intelligence Community, NASA, and other key federal entities, we excel in engineering, logistics, operations, science, program management, mission IT, and cybersecurity. United in our quest for excellence, KBR stands at the vanguard, ready to transform possibilities into impactful realities for a better tomorrow.

Why Join KBR?

  • Mentorship from experienced subject matter experts
  • Cutting edge projects, relevant to real world challenges
  • Work in a collaborative and dynamic team environment
  • Networking opportunities with other technologists and executives
  • Competitive pay and great company culture

As a National Security Solutions - AI/ML Intern:

  • Develop and refine machine learning models, experimenting with various architectures and optimization strategies.
  • Implement clean, modular, and welldocumented code to support data processing, model training, and evaluation workflows.
  • Collaborate with senior engineers and mentors to translate highlevel research goals into actionable technical tasks.
  • Perform handson data preparation, including preprocessing, transformation, and quality checks across diverse datasets.
  • Design and run controlled experiments to compare algorithmic approaches and analyze performance results.
  • Investigate emerging AI/ML techniques and prototype solutions that can be integrated into existing development pipelines.
  • Debug, profile, and optimize code to improve model efficiency and overall system performance.
  • Create visualizations, metrics, and technical summaries to communicate findings and progress to the engineering team.
  • Work with geospatial datasets, including SAR and EO imagery, to support computer vision and ML experimentation.
  • Contribute to image-based data processing and analysis efforts that support downstream machine learning development.

Selected interns for this paid opportunity will be provided with the opportunity to mentor with experienced professionals, gain experience and establish a name for themselves in this high demand career field.

Required Skillset:

  • Currently enrolled and pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, Computer Engineering, Physics, or Applied Math
  • Strong proficiency in Python and experience with core ML libraries such as NumPy, pandas, scikitlearn, TensorFlow, or PyTorch.
  • Solid understanding of machine learning fundamentals, including model training, evaluation, and experimental design.
  • Ability to preprocess, transform, validate, and manage datasets for training and analysis workflows.
  • Skilled in writing clean, modular, welldocumented code and debugging or optimizing ML pipelines.
  • Strong work ethics and interpersonal skills
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills

Scheduled Weekly Hours: Average 40 hours per week, 10 weeks in duration during the period of Sumer 2026

Requirement:

  • Must be a US Citizen
  • Must pass a Security Pre-Screen and have the ability to obtain a security clearance.

Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.


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Benefits

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About KBR

Sourced by ZipRecruiter

At KBR, we partner with government and industry clients to provide purposeful and comprehensive solutions with an emphasis on efficiency and safety. With a full portfolio of services, proprietary technologies and expertise, our employees are ready to handle projects and missions from planning and design to sustainability and maintenance. Whether at the bottom of the ocean or in outer space, our clients trust us to deliver the impossible on a daily basis.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1998