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Math Intern Jobs in Washington (NOW HIRING)

The estimating intern responsible for supporting the preconstruction team during the bid and budget ... Organized, superior math skills, and detail oriented. * Ability to multi-task and cope with many ...

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Math Intern information

See Washington salary details

$10

$19

$27

How much do math intern jobs pay per hour?

As of May 28, 2026, the average hourly pay for math intern in Washington is $19.30, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Math Intern, and why are they important?

To thrive as a Math Intern, you need a solid foundation in mathematics, problem-solving abilities, and often enrollment in or completion of a relevant degree program. Familiarity with statistical software, programming languages like Python or MATLAB, and tools such as Excel is commonly expected. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and interpret complex data. These skills are crucial for contributing to projects, gaining practical experience, and supporting organizational goals through quantitative analysis.

What types of projects or tasks can a Math Intern expect to work on during their internship?

As a Math Intern, you can expect to work on a variety of projects, such as analyzing data sets, developing mathematical models, or assisting with research studies. Your daily tasks may include running statistical analyses, creating visualizations, and collaborating with other team members to solve real-world problems. Math Interns often work closely with experienced mathematicians, data scientists, or engineers, providing an excellent opportunity to learn industry-specific applications of mathematics and build practical skills. Additionally, you may be asked to present your findings to the team, helping you develop both technical and communication abilities.

What are Math Interns?

Math Interns are students or recent graduates who gain practical experience in mathematics by working under the supervision of professionals in fields such as research, finance, data analysis, or education. Their responsibilities often include assisting with data collection and analysis, conducting mathematical modeling, and supporting ongoing projects. This internship provides valuable hands-on experience, helps interns apply classroom knowledge to real-world scenarios, and can serve as a pathway to full-time positions in mathematics-related careers.

What is the difference between Math Intern vs Data Analyst?

AspectMath InternData Analyst
Required CredentialsTypically pursuing or holding a degree in mathematics, statistics, or related fieldBachelor's degree in statistics, mathematics, computer science, or related field
Work EnvironmentInternship setting, often in educational or research institutions, or corporate R&D departmentsOffice environment, working with data sets, reports, and analytics tools
Employer & Industry UsageUniversities, research labs, tech companies, finance firmsBusiness, finance, marketing, healthcare, technology

Math Interns typically focus on learning and supporting mathematical research or projects, often as students gaining experience. Data Analysts analyze data to generate insights, reports, and support decision-making. While both roles involve quantitative skills, Data Analysts usually work with real-world data and analytics tools, whereas Math Interns may focus more on theoretical or research-based tasks.

What are the most commonly searched types of Math jobs in Washington? The most popular types of Math jobs in Washington are:
What cities in Washington are hiring for Math Intern jobs? Cities in Washington with the most Math Intern job openings:

AI Engineer Intern (USPS) - Summer 2026

LMI Consulting, LLC

Tysons, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

AI Engineer Intern (USPS) - Summer 2026
Job Locations US-VA-Tysons | US-DC-Washington, DC
Job ID 2026-13491
# of Openings 1
Category Internships
Benefit Type Hourly Low Fringe/Intern
Overview

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

*This position is currently full-time onsite at the customers Washington DC office.

Responsibilities
    Identify opportunities where AI/ML or modeling and simulation can generate business insights or improve business processes
  • Develop and implement digital and analytic approaches
  • Work with product designers, application developers, infrastructure engineers, and other data scientists to integrate predictive and prescriptive models with web-based applications
  • Research algorithms in machine learning to identify viable approaches to meet business requirements
  • Apply machine learning methods, such as natural language processing (NLP), computer vision, regression, clustering, classification, and deep learning
  • Design solution prototypes that connect to data sources and deploy through services, such as service functions in web applications or application programming interfaces (APIs)
  • Become familiar with DevSecOps principles to continuously deliver high-quality software
  • Work with Docker to develop and deploy containerized versions of models
  • Participate in design and code reviews, and collaborate with a strong, passionate engineering team
  • Provide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to users
  • Interface with customer stakeholders to provide technical explanations and support
Qualifications
  • Pursuit of a Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.
  • Currently enrolled in a Graduate (Masters) program highly preferred
  • Pursuing a post-graduate or undergrad degree in engineering, mathematics, computer science, modeling and simulation, operations research, or related technical discipline
  • Must be able to work for a minimum of 10-12 weeks beginning in Summer 2026 (May/June)
  • Comfortable working with agile teams, developing prototypes and functionality in short development sprints
  • Ability to work independently and collaborate effectively with a project team in an agile research and development environment
  • Comfortable using Atlassian products, including JIRA, Bamboo, Confluence, FishEye, Crucible, and Bitbucket
  • Ability to think critically to propose tractable solutions to complex problems
  • Effective written and verbal communication skills
  • Ability to communicate complex concepts to both technical and business-focused audiences
  • Familiarity or desire to excel with modern programming languages appropriate for machine learning prototyping; Python is preferred, but experience with other languages such as Java, C++, C#, JavaScript and R demonstrate the necessary ability
  • Familiarity with the underlying mathematics of machine learning
  • Knowledge of data structures and data management principles, methods, and tools
  • Desire to explore machine learning frameworks and libraries, such as scikit-learn, TensorFlow, and Spark ML
  • Ability to work with integrated development environments, such as Jupyter, JupyterLab, JetBrains IntelliJ IDEA, JetBrains PyCharm, JetBrains CLion, and Visual Studio Code
  • Ability to collaborate with a team that develops applications using web development frameworks, such as Angular (1.x/2+), React, and Ember, and server frameworks, such as Node.js and Express.js
  • Ability to consume or interface with cloud computing and storage services, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud
  • Familiarity or desire to become familiar with containerization technologies, such as Docker, Kubernetes, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS)

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.


LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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