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Applied Mathematics Intern Jobs (NOW HIRING)

Cadence

Software Engineering Intern

Pittsburgh, PA · On-site

Pursuing or recently completed a degree in Computer Science, Applied Mathematics, Data Science, or a related field. * Strongfoundation in machine learning, deep learning, and natural language ...

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$11

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$34

How much do applied mathematics intern jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for applied mathematics intern 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 does an Applied Mathematics Intern do?

An Applied Mathematics Intern applies mathematical concepts and computational techniques to solve real-world problems in various industries, such as finance, engineering, or data science. They assist with data analysis, model development, algorithm implementation, and simulations. Interns may work with teams to apply statistical methods, optimization, or machine learning to practical challenges. This role provides hands-on experience in applying theoretical knowledge to industry-specific problems while developing programming and analytical skills.

What are the key skills and qualifications needed to thrive in the Applied Mathematics Intern position, and why are they important?

To thrive as an Applied Mathematics Intern, you generally need a solid foundation in mathematical analysis, statistical methods, and problem-solving skills, often supported by progress toward a degree in mathematics, statistics, or a related field. Experience with programming languages such as Python, MATLAB, or R, and familiarity with data analysis or mathematical modeling software, are highly valuable. Excellent communication, adaptability, and teamwork are soft skills that help interns effectively share findings and collaborate with diverse teams. These skills ensure interns can translate complex data into actionable solutions, contribute meaningfully to projects, and adapt to varied real-world applications.

What types of projects or tasks are typically assigned to Applied Mathematics Interns?

As an Applied Mathematics Intern, you can expect to work on projects involving data analysis, mathematical modeling, algorithm development, or simulation of real-world systems, depending on the industry. Tasks may include interpreting large datasets, building or improving statistical models, coding mathematical solutions, or supporting research for ongoing business or engineering projects. Interns often collaborate with teams of data scientists, engineers, or business analysts, gaining exposure to how applied mathematics drives decision-making and innovation. This hands-on experience helps you develop both technical and professional skills, preparing you for advanced roles in mathematics or data-driven fields.

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Applied Mathematics Intern jobs near you
Infographic showing various Applied Mathematics Intern job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 27% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $40,232 per year, or $19.3 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Posted 2 days ago

Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgrounds—including mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fields—who are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis 
  • Assist in organizing, cleaning, and validating data for reporting and modeling 
  • Build and maintain spreadsheets and simple analytical models in Excel 
  • Support development of reports, dashboards, and visualizations 
  • Identify patterns, inconsistencies, or trends in data 
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable) 
  • Collaborate with team members on data, finance, and technology-related tasks 
  • Apply quantitative or analytical approaches from coursework to practical business problems 
Required Qualifications
  • Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline) 
  • Strong problem-solving and analytical thinking skills 
  • Familiarity with: 
    • Microsoft Excel (formulas, basic functions) 
    • Microsoft Office (Word, PowerPoint) 
  • Comfort working with numbers and structured data 
  • Strong attention to detail and willingness to learn 
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects 
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables) 
  • Introductory knowledge of statistics, probability, or data analysis 
  • Interest in financial markets, data analytics, or fintech 
  • Coursework or projects involving: 
    • Data analysis or visualization
  • Mathematical modeling 
  • Machine learning (introductory) 
  • Computational or applied problem-solving 
What You’ll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment 
  • Exposure to financial data, analytics workflows, and decision-making processes 
  • Opportunity to build foundational data and modeling skills 
  • Mentorship and professional development 
  • Insight into career paths in quantitative finance, data science, and analytics 
Internship Details
  • Summer 2026, with possible extensionÂ