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Internship Economics Computer Science Jobs in Boston, MA

Many of our analysts and portfolio managers started with us as interns. As an intern, you will ... Coursework in finance, mathematics, economics, computer science * Must have excellent mathematical ...

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Many of our analysts and portfolio managers started with us as interns. As an intern, you will ... Coursework in finance, mathematics, economics, computer science * Must have excellent mathematical ...

New

Java Developer

Boston, MA · On-site

$55.50 - $71.75/hr

Preferred : • BS in Mathematics, Economics, Computer Science, Information Management or Statistics is a plus. Company : Arnica is a framework for DevOps supply chain security that is behavior-based.

Python Developer

Boston, MA · On-site

$54.50 - $75.25/hr

Preferred : • BS in Mathematics, Economics, Computer Science, Information Management or Statistics is a plus. Company : Arnica is a framework for DevOps supply chain security that is behavior-based.

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Internship Economics Computer Science information

Which internship is best for a computer science student?

The best internship for a computer science student depends on their interests and career goals, but generally, internships at technology companies or research institutions that offer hands-on experience in programming, data structures, and software development are highly valuable. Look for roles that provide mentorship, exposure to real-world projects, and opportunities to learn relevant tools like Python, Java, or cloud platforms. Certifications or coursework in algorithms and systems can also enhance internship prospects.

What are the key skills and qualifications needed to thrive as an economics and computer science intern, and why are they important?

To thrive as an Economics and Computer Science Intern, you need foundational knowledge in economic theory, data analysis, and programming—often supported by coursework in economics, statistics, and computer science. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as experience using statistical software, is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills will help you stand out in this role. These competencies are crucial for interpreting complex data, contributing valuable insights, and collaborating efficiently with multidisciplinary teams.

What is an internship economics computer science?

Internship Economics Computer Science positions are temporary roles designed for students or recent graduates interested in the intersection of computer science and economics. These internships typically involve tasks such as data analysis, economic modeling, programming, and research to solve real-world economic problems using computational methods. Interns gain hands-on experience working with large datasets, developing algorithms, and applying economic theory to technology-driven projects. These positions are often found in research institutions, tech companies, financial firms, and government agencies, providing valuable exposure to both fields.

What kind of internships can I get with an internship economics computer science?

Internship roles combining economics and computer science often include data analyst, financial analyst, research assistant, or software development internships in finance, tech, or consulting firms. These positions typically require skills in programming, data analysis, and economic modeling, and may involve working with tools like Python, R, or SQL.

What jobs combine internship economics and computer science?

Jobs that combine internship economics and computer science include roles such as data analyst, economic analyst, financial analyst, and research associate in tech or finance firms. These positions often require skills in programming, statistical analysis, and economic modeling, and may involve using tools like Python, R, or SQL to analyze economic data and support decision-making.

What is the difference between Internship Economics Computer Science vs Internship Data Analysis?

AspectInternship Economics Computer ScienceInternship Data Analysis
Required SkillsEconomics principles, programming, data modelingStatistical analysis, programming, data visualization
Work EnvironmentResearch, software development, economic modelingData processing, reporting, business insights
Industry UsageFinance, tech, consultingMarketing, finance, tech

Internship Economics Computer Science focuses on applying economic theories with programming skills to analyze markets and develop models. In contrast, Internship Data Analysis emphasizes statistical techniques and data visualization to interpret large datasets. Both roles often overlap in tech and finance sectors, but their core focus and skill sets differ slightly.

What types of projects can I expect to work on during an economics and computer science internship?

As an intern combining economics and computer science, you can expect to work on projects involving data analysis, algorithm development, and economic modeling. Typical tasks may include using programming languages like Python or R to analyze large datasets, building predictive models for financial or market trends, and collaborating with economists and software engineers to develop data-driven solutions. These projects not only enhance your technical skills but also provide valuable exposure to real-world economic problem-solving within a collaborative, interdisciplinary team environment.
What are popular job titles related to Internship Economics Computer Science jobs in Boston, MA? For Internship Economics Computer Science jobs in Boston, MA, the most frequently searched job titles are:
What cities near Boston, MA are hiring for Internship Economics Computer Science jobs? Cities near Boston, MA with the most Internship Economics Computer Science job openings:
Infographic showing various Internship Economics Computer Science job openings in Boston, MA as of August 2026, with employment types broken down into 13% Internship, and 87% Full Time. Highlights an 87% In-person, and 13% Remote job distribution.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Re-posted 5 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