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How much do applied mathematics internship jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for applied mathematics internship in the United States is $19.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.63 per hour, depending on experience, location, and employer.

What is an applied mathematics internship?

An applied mathematics internship is a temporary position where students or recent graduates work with organizations to apply mathematical theories and techniques to solve real-world problems. Interns typically assist in data analysis, modeling, simulations, or algorithm development in fields like finance, engineering, technology, or research. These internships provide valuable hands-on experience, help build professional networks, and often enhance job prospects after graduation.

What are applied mathematics internship opportunities?

Applied mathematics is the use of mathematical formulas and methods to solve real-world problems and develop innovations. It is used in many different industries, including computer science, biological science, engineering, aeronautics, and business. Applied mathematics internships are typically open to students majoring in or who have graduated with a degree in applied mathematics and plan to pursue a career utilizing their training. Research institutes often offer these internships, but you can also find them at companies that use significant amounts of math in their day-to-day activities. Your specific job duties vary, depending on the company and industry, but you are usually paired up with a professional in the field to learn more about how applied mathematics is utilized. Most of these internships occur over the summer, though some companies offer internships year-round.

What are the key skills and qualifications needed to thrive as an applied mathematics intern, and why are they important?

To thrive as an Applied Mathematics Intern, you need a solid background in mathematics, statistics, and problem-solving skills, often supported by current enrollment in or completion of a relevant degree program. Familiarity with tools such as MATLAB, Python, R, and statistical software is typically required, along with experience using data analysis and modeling systems. Strong analytical thinking, attention to detail, and effective communication are vital soft skills for collaborating with teams and presenting complex findings. These skills and qualifications are crucial for solving real-world problems, contributing to research projects, and translating mathematical concepts into actionable solutions.

What types of projects can I expect to work on during an applied mathematics internship?

During an Applied Mathematics Internship, you’ll typically work on projects involving data analysis, mathematical modeling, or algorithm development to solve real-world problems. Interns often collaborate closely with teams in engineering, data science, or research, contributing to tasks such as optimizing business processes, analyzing large datasets, or creating simulations. The work environment is usually highly collaborative and may require presenting your findings to both technical and non-technical stakeholders. These projects help interns develop practical skills and gain exposure to diverse applications of mathematics in industry.
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Applied Mathematics Internship jobs near you
Infographic showing various Applied Mathematics Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,232 per year, or $19.3 per hour.

Applied Mathematics Statistics Intern

Applied Optimization

Fairborn, OH • On-site

Full-time, Part-time, Internship

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

Job description

Applied Optimization (AO) Job Description

Job Title: Applied Mathematics & Statistics Intern Reports to: Principal Scientist

FLSA Status: Part-Time (Non-Exempt) Department: Space Science

Position Objective:

To support an interdisciplinary team that develops new generation scientific algorithms in space science through mathematical modeling, statistical analysis, applications of machine learning and artificial intelligence techniques, and implements these into numerical analysis and software deliverables to our customers.

Essential Functions:

Support the development and testing of mathematical models of real data

Support the implementation of mathematical formulae and algorithms into software code

Support hypothesis testing through statistical analysis methods to analyze and interpret effectiveness of algorithms

Support modifying and debugging code

Perform verification and quality assurance for new and existing mathematical algorithms and code

Help prepare and review presentations, papers, and reports to convey statistical analysis, mathematical modeling, and software development to customers

Ensure accuracy of your work and follow procedures in documenting work; maintain notebook of daily activities and provide weekly reports of work

Other duties as assigned

Required Qualifications:

Undergraduate or graduate student currently enrolled in a program related to the field of mathematics or statistics with a superior academic record

Basic understanding of software development and knowledge of various programming languages

Attention to detail and effective time and schedule management skills

Effective organizing, planning, and problem-solving skills

Ability to adapt within a small team to support evolving customer requirements

Ability to adapt between and balance work falling under a range of research topics including additive manufacturing, space research, and optics

Ability to execute instructions and communication in written, oral, and diagram form

Demonstrated strong writing, fact-gathering, and analytical skills

Basic computer skills including, but not necessarily limited to, Microsoft Office products (e.g., Outlook, Word, Excel, and PowerPoint)

Preferred Qualifications:

College sophomore or higher with cumulative GPA (Grade Point Average) of 3.5 or higher

A minor or dual degree in computer science or computer engineering

Theoretic knowledge and experience of Agile software development practices and UML

Knowledge or experience in Python, MATLAB, and/or C++ programming languages

Knowledge or experience in Git management and use for collaborative projects

Experience with machine learning, artificial intelligence, and numerical optimization techniques

Citizenship/Security Clearance Requirements:

U.S. Citizen or Green Card Holder

May be required to obtain and maintain U.S. Government Security Clearance

About Our Internships:

Hours: The internship is a part-time, year-round position that requires a minimum of sixteen hours per week of work. The hours are flexible and they can change from one semester to another based on the student's class schedule. The weekly hours can be adjusted to balance for the examinations, tests, and project submissions.

Employment Structure:

In-office attendance is required; remote work is not available at this time.

About Us: Applied Optimization is a growing organization located in Fairborn, OH. We are an equal opportunity employer offering a competitive salary that is commensurate with qualifications and a comprehensive benefits package. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by applicable law. Find out more about us at www.appliedo.com.

This job description is subject to change.

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