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Internship Numerical Analysis Jobs (NOW HIRING)

Deep interest in digital marketing; past internship experience a plus * Familiarity with platforms like Google, Meta, Snapchat, and TikTok * Comfortable with math and numerical analysis to support ...

Deep interest in digital marketing; past internship experience a plus * Familiarity with platforms like Google, Meta, Snapchat, and TikTok * Comfortable with math and numerical analysis to support ...

Great analytical and problem-solving skills * Proficient in Microsoft Office Suite * Proficiency in ... First Shift Job Posting: 08/31/2026, 10:00:00 PM Job Number: 342297

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Internship Numerical Analysis information

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How much do internship numerical analysis jobs pay per hour?

As of Sep 14, 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 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.

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 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 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.

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Infographic showing various Internship Numerical Analysis job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Internship - Scalable Numerical Solvers for Systems of Learned Dynamical Components

Cambridge, MA • On-site

Mitsubishi Electric Research Laboratories
51 - 200 employees

$16.50 - $21.25/hr

Full-time, Internship

Medical

Posted 6 days ago


Job description

MERL seeks a motivated graduate student to develop scalable numerical solvers for systems composed of learned dynamical components. The internship will focus on the numerical challenges that arise when multiple neural-network-based component models are interconnected through physical constraints and feedback, forming large-scale coupled ODE/DAE systems. The intern will develop numerical methods to improve solver robustness and simulation speed for these large-scale systems. Candidates should have a strong foundation in numerical analysis and scientific computing, together with a solid background in machine learning and data-driven methods. Strong programming skills in Python, Julia, C/C++, or Matlab are expected. Senior PhD students in applied mathematics, scientific computing, computational engineering, or related fields are encouraged to apply. The internship is expected to last 3 months, with a flexible start date, and may be extended depending on research progress and mutual interest.
The pay range for this internship position will be 6-8K per month.
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge.
Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.
In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered �at-will,� and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.