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Internship Numerical Analysis Jobs (NOW HIRING)

coty

$14 - $18.75/hr

You are creative but also have an analytical mindset , enjoy working with numbers and figures, and ... Remunerated internship * A prolongable 6-month internship * Omni-Working: Hybrid flexible working ...

Coty

Commercial Internship Program Iberia

Barnegat, NJ · On-site

$16 - $21.50/hr

You are creative but also have an analytical mindset , enjoy working with numbers and figures, and ... Remunerated internship * A prolongable 6-month internship * Omni-Working: Hybrid flexible working ...

Inceed

Sales Internship - Part-Time

Overland Park, KS · On-site

$14 - $19/hr

Market Analysis: Who loves data? Trends are important and help develop strategies vital to our ... Join us in zeroing in on numbers that matter. * Collaboration: Ok, ok, it's a little cliche, but ...

Synopsys

Senior R&D Engineer - Job ID 18042

Canonsburg, PA · On-site

$96K - $131K/yr

May be responsible for managing interns or co-ops but typically does not have direct reports ... large-scale numerical analysis programs; • Experience using commercial and opensource linear ...

NBBJ

Accounting Internship

Seattle, WA · On-site

$25/hr

Are detail-oriented with strong analytical and problem-solving skills, excellent organizational ... Actual compensation for successful candidates will be carefully determined based on a number of ...

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Internship Numerical Analysis information

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How much do internship numerical analysis jobs pay per hour?

As of Jul 12, 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.
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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:
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Internship Numerical Analysis jobs near you
Infographic showing various Internship Numerical Analysis job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Re-posted 8 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 extension