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$10

$19

$27

How much do math intern jobs pay per hour?

As of May 30, 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:
Math Intern jobs near you
Data Science Intern (USPS) - Summer 2026

Data Science Intern (USPS) - Summer 2026

Logistics Management Institute

Tysons, VA

Internship

Posted 22 days ago

Job description

LMI is seeking a highly motivated Data Science & AI/ML Intern for Summer 2026 to contribute to impactful projects in data science, software development, and artificial intelligence/machine learning (AI/ML). This internship provides an opportunity to work with cutting-edge technologies, analyze complex datasets, and develop AI-driven solutions that support LMI’s mission to provide innovative solutions for government clients. 

This role is dedicated to bolstering our Advanced Analytics & AI practice and supporting our USPS customer.  

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

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.


  • Participate in research and development efforts focused on emerging AI and data science methodologies. 
  • Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries. 
  • Develop and implement AI/ML algorithms to solve real-world problems. 
  • Assist in the development of software applications leveraging cloud computing platforms like AWS or Azure. 
  • Create data visualizations and dashboards to present analytical insights effectively. 
  • Collaborate with cross-functional teams to integrate AI-driven solutions into existing systems.  

  • Current enrollment in a degree seeking program required 
  • Availability to work full-time for at least 10-12 weeks for summer 2026
  • Must be available starting at the end of May 2026
  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. 
  • Experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). 
  • Familiarity with software development, cloud computing (AWS, Azure), and algorithms. 
  • Strong analytical and problem-solving skills with the ability to work on complex datasets. 
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib) is a plus. 
  • Strong communication and teamwork skills. 
  • Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. For this position, LMI will only consider applicants who are eligible for security clearances. Only US Citizens are eligible for a security clearance. 

DESIRED QUALIFICATIONS/SKILLS 

  • Experience working with Microsoft Excel and Access. 
  • Experience with Visual Basic for Applications and Java is highly desirable. 
  • Programming experience—ability to program and learn new programming languages quickly. 

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.


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