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$10

$17

$28

How much do internship numerical methods jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for internship numerical methods in the United States is $17.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.75 per hour, depending on experience, location, and employer.

What is an internship numerical methods?

Internship numerical methods refer to internships focused on applying mathematical techniques and algorithms to solve real-world problems using numerical computations. These internships typically involve working with numerical analysis, modeling, simulation, and programming to analyze data or solve engineering and scientific problems. Interns may use tools like MATLAB, Python, or specialized software to implement and test numerical algorithms under the guidance of professionals. Such internships are valuable for students in mathematics, engineering, physics, or computer science, offering practical experience in computational problem-solving.

What types of projects can an intern expect to work on during a Numerical Methods internship?

As a Numerical Methods intern, you can expect to work on projects involving the development, implementation, and testing of algorithms for solving mathematical problems—such as differential equations, optimization, or data analysis tasks. You may collaborate with engineers or researchers to improve computational models, validate results, or optimize code for efficiency. These projects often require a mix of programming (commonly in Python, MATLAB, or C++), mathematical analysis, and teamwork. This hands-on experience is valuable for building problem-solving skills and gaining exposure to real-world applications of numerical techniques.

What are the key skills and qualifications needed to thrive as an intern in Numerical Methods, and why are they important?

To thrive as an intern in Numerical Methods, you need a solid understanding of mathematics, computational modeling, and problem-solving, typically supported by coursework in applied mathematics, engineering, or computer science. Familiarity with programming languages like Python or MATLAB and exposure to numerical analysis software are often expected. Strong analytical thinking, attention to detail, and effective communication help interns interpret results and collaborate with team members. These skills are crucial for accurately solving complex numerical problems and contributing to research or engineering projects.

What is the difference between Internship Numerical Methods vs Data Analyst?

AspectInternship Numerical MethodsData Analyst
Required CredentialsBasic knowledge of mathematics, programming, and numerical algorithmsBachelor's degree in statistics, mathematics, or related field
Work EnvironmentInternship setting, often in research or technical teamsOffice environment, working with data sets and reporting tools
Employer & Industry UsageResearch institutions, engineering firms, tech companiesBusiness, finance, healthcare, marketing sectors
Search & Comparison IntentUnderstanding entry-level roles in numerical computationExploring data analysis careers and skills

Internship Numerical Methods focuses on applying mathematical and computational techniques to solve problems, often in research or technical settings. Data Analyst roles involve interpreting data, creating reports, and supporting decision-making in various industries. While both require analytical skills, internships emphasize learning and applying numerical algorithms, whereas data analysts focus on data interpretation and visualization.

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Internship Numerical Methods jobs near you
Infographic showing various Internship Numerical Methods job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $36,531 per year, or $17.6 per hour.

Applied AI Engineer Intern - Summer 2027 (May/June Start)

General Electric Company

Remote

$20/hr

Full-time

Posted 7 days ago

Job description

Job Description SummaryAt GE Aerospace, our AI engineers don't just support projects - they help drive them. From day one, interns and co-ops take on real-world challenges, owning work from start to finish and building solutions that connect data, tools, cloud, AI, and engineering to advance the future of flight.
As an intern, you'll build expertise in cloud platforms, databases, data engineering, web design, Al technologies, and numerical methods to solve real-world engineering problems. Through hands-on projects, you'll work with the Innovator Method, Game Theory, and DecisionIQ, turning customer insights into impactful solutions. You'll have the opportunity to learn, contribute, and bring real business value and help shape the future of aerospace design.Job Description

What You will Do

  • Develop technical solutions for engineers to evaluate and adopt data and AI solutions.

  • Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems.

  • Build and present product architectures, write technical code, and demo applications to stakeholders.

  • Gain hands-on experience with the Innovator Method, Game Theory, and DecisionIQ and turn customer insights into solution that deliver real business value.

  • Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.

  • Use your strengths to support team members and build cross-functional relationships across the company.

  • Work to ship solutions to production that meet business needs and drive impact.

Our culture thrives on innovation, diversity, and deep collaboration. You'll contribute as both a learner and a builder, helping us push the design frontier in aerospace.

Qualifications

  • Currently enrolled in a Bachelor's degree program in Computer Science, Aerospace Engineering, Mechanical Engineering; or a related field at an accredited university or credentialed software accelerator program.

  • Minimum 3.7 cumulative GPA off a 4.0 scale without rounding

No prior work experience is required.

Desired Characteristics

  • Strong academic performance in Computer Science or other STEM disciplines

  • Experience designing AI solutions and architecting distributed data systems

  • Proficiency in programming and debugging with Python, C#, C++, and SQL

  • Customer-centric mindset with ability to lead design thinking workshops

  • Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision

  • Experience building solutions using public cloud platforms such as AWS or Azure

  • AWS and/or Azure certification

About The Internship

  • Location: Remote

  • Pay rates for this position begin at $20/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city.

  • Travel Opportunities

  • Real-world project ownership

  • Mentorship from experienced engineers

  • Opportunity for return offers

Equal Opportunity Employer

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

#LI-Remote - This is a remote position

Additional Information

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.


Relocation Assistance Provided: No

#LI-Remote - This is a remote position

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