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Internship Computational Mathematics Jobs (NOW HIRING)

Youth Crisis Center Inc

Internship (Unpaid)

Jacksonville, FL · On-site

$13.25 - $17.50/hr

Mathematical Skills and Reasoning Ability Basic and/or advanced computational skills may be necessary. Physical Demands This is a sedentary position, and the incumbent will be required to sit ...

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Internship Computational Mathematics information

What is the difference between Internship Computational Mathematics vs Data Analyst Intern?

AspectInternship Computational MathematicsData Analyst Intern
Required CredentialsMathematics, Computer Science, or related field; programming skillsStatistics, Mathematics, or related field; analytical skills
Work EnvironmentResearch labs, tech companies, finance firmsBusiness, tech companies, consulting firms
Employer & Industry UsageAcademic, research, tech, financeBusiness, marketing, finance, tech
Common Search & Comparison IntentUnderstanding roles in computational mathAnalyzing data, business insights

Internship Computational Mathematics focuses on applying mathematical models and algorithms, often in research or technical environments, while Data Analyst Internships emphasize analyzing data to inform business decisions. Both roles require strong analytical skills but differ in their primary focus and industry applications.

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What are the most commonly searched types of Computational Mathematics jobs? The most popular types of Computational Mathematics jobs are:
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Internship Computational Mathematics jobs near you
Infographic showing various Internship Computational Mathematics job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Posted 19 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