ZipRecruiter

Log In

1

Internship Numerical Analysis Jobs (NOW HIRING)

SeatSwap, Inc.

SeatSwap Fall Internship

New York, NY · On-site

... number of capacities. We are looking for someone who is passionate about what they do, whether ... analytics, graphic design or anything in between. This will probably be unlike any internship you ...

next page

Showing results 1-20

All JobsInternship Numerical Analysis Jobs

Internship Numerical Analysis information

See salary details

$9

$17

$23

How much do internship numerical analysis jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for internship numerical analysis in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What types of projects do interns in numerical analysis typically work on, and how do these contribute to the organization's goals?

Interns in numerical analysis often work on projects such as developing and implementing algorithms for data modeling, optimizing computational methods, or analyzing large datasets to extract insights. These projects directly support the organization's research, engineering, or product development efforts by improving the accuracy and efficiency of numerical computations. Interns frequently collaborate with experienced analysts, data scientists, and engineers, gaining valuable exposure to real-world problem solving and cross-functional teamwork. This hands-on experience not only builds technical skills but also demonstrates the impact of numerical methods in practical applications.

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

AspectInternship Numerical AnalysisData Analyst Internship
Required CredentialsMathematics, Engineering, or Computer Science backgroundStatistics, Data Science, or related fields
Work EnvironmentResearch labs, finance, engineering firmsBusiness, tech companies, consulting firms
Employer & Industry UsageFinance, engineering, scientific researchMarketing, finance, healthcare, tech

Internship Numerical Analysis focuses on mathematical modeling, algorithms, and computational methods for solving complex problems, often in scientific or engineering contexts. Data Analyst Internships emphasize data collection, analysis, and visualization to support business decisions. While both roles involve data and technical skills, Numerical Analysis internships are more research and algorithm-driven, whereas Data Analyst internships are more business and insights-oriented.

What are the key skills and qualifications needed to thrive as an Internship Numerical Analysis, and why are they important?

To thrive in a Numerical Analysis Internship, you need a solid understanding of mathematics, especially numerical methods, and coursework in applied math or engineering. Familiarity with programming languages such as Python, MATLAB, or R, and experience using mathematical software tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns stand out in collaborative and research-driven environments. These skills ensure accurate data analysis, efficient problem resolution, and meaningful contributions to complex numerical projects.

What is an internship in numerical analysis?

An internship in numerical analysis is a temporary position, typically for students or recent graduates, where you apply mathematical techniques and computational methods to solve real-world problems. Interns may assist with developing algorithms, running simulations, or analyzing large datasets, often using programming languages like Python, MATLAB, or R. These internships are common in industries such as engineering, finance, data science, and research, and provide valuable hands-on experience bridging theoretical math and practical application.
More about Internship Numerical Analysis jobs
What cities are hiring for Internship Numerical Analysis jobs? Cities with the most Internship Numerical Analysis job openings:
What are the most commonly searched types of Numerical Analysis jobs? The most popular types of Numerical Analysis jobs are:
What states have the most Internship Numerical Analysis jobs? States with the most job openings for Internship Numerical Analysis jobs include:
What job categories do people searching Internship Numerical Analysis jobs look for? The top searched job categories for Internship Numerical Analysis jobs are:
Internship Numerical Analysis jobs near you
Infographic showing various Internship Numerical Analysis job openings in the United States as of June 2026, with employment types broken down into 29% Internship, 47% Full Time, 6% Part Time, 12% Temporary, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Structural Engineering Internship (Catastrophe Modeling) - 2026 (PhD / Graduate Student)

Structural Engineering Internship (Catastrophe Modeling) - 2026 (PhD / Graduate Student)

Karen Clark & Company

Boston, MA • On-site

$25/hr

Internship

Posted 21 days ago

Job description

Structural Engineering Internship (Catastrophe Modeling) - 2026 (PhD / Graduate Student)

Karen Clark & Company (KCC) is seeking a qualified candidate for a 2026 internship with a term of at least 8 weeks. The selected candidate will work with the Model Development Team in-person in KCC's Boston office to support the development of advanced catastrophe reference models. In this position, you will work closely with other scientists and engineers to develop and manage the vulnerability module of KCC's catastrophe models. The internship is supervised by senior staff and provides hands-on experience working on real-world science and engineering problems in the catastrophe modeling industry.

Expected Pay: $25 per hour

About KCC

Karen Clark & Company (KCC) is the innovation and technology leader in weather, climate, and catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide advanced models, innovative software, and comprehensive consulting services to (re)insurance company executives nationwide. These services enhance business strategies, and the financial results put our clients at a competitive advantage. KCC catastrophe models currently cover tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 50 countries. For more information, please visit www.kcc.us.com.

Qualifications

  • MS or PhD candidate in Structural Engineering, Civil Engineering, or a related field with focus on natural hazards (e.g., wind, flood, wildfire, earthquake)
  • Understanding of structural behavior and damage mechanisms under natural hazards
  • Familiarity with probabilistic methods and basic risk modeling concepts
  • Experience with numerical modeling or simulation (e.g., structural analysis, fragility/vulnerability modeling)
  • Proficiency in Python or similar language for data analysis; ability to work with and process large datasets
  • Strong analytical and problem-solving skills, with attention to detail
  • Clear technical communication skills (written and verbal)