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Internship Economics Computer Science Jobs in Boston, MA

Arnica

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.

Arnica

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.

Vestmark, Inc.

Trade Support Engineer

Wakefield, MA · Hybrid

... interns and coops. * Answer inbound support calls and triage support inquiries; escalate to team ... BA or BS degree (degree in Finance, Economics, Computer Science or equivalent is a plus). Vestmark ...

Pine Street Inn

Unpaid Internship, Stabilization

Boston, MA · On-site

$15.75 - $21/hr

Bachelor's in a social science field * Good written and verbal communication skills, good internet ... Good computer skills, particularly in internet research and MS Office, including Excel PREFERRED:

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All JobsEconomics Computer Science JobsInternship Economics Computer Science JobsInternship Economics Computer Science Jobs in Boston, MA

Internship Economics Computer Science information

Is $30 an hour good for an internship?

For an internship in economics or computer science, $30 an hour is considered above average, as most internships pay between $15 and $25 per hour. However, pay rates can vary based on location, company, and the level of skills required, such as programming or data analysis. It's also important to consider the experience gained and whether the internship offers other benefits like mentorship or networking opportunities.

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 are Internship Economics Computer Science positions?

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 jobs combine economics and computer science?

Jobs that combine economics and computer science include roles such as data analyst, financial analyst, quantitative analyst, economic consultant, and machine learning engineer. These positions often require skills in programming, statistical analysis, and economic modeling, and are common in finance, consulting, and technology sectors.

What internships can economics students do?

Economics students can pursue internships in areas such as financial analysis, economic research, data analysis, consulting, and policy analysis. These internships often involve skills in data modeling, statistical software, and economic theory, providing practical experience in finance, government agencies, or private firms.

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.

Which internship is best for a CS student?

The best internship for a CS student depends on their interests and career goals, but generally, internships at technology companies or research labs that offer hands-on experience with programming, software development, or data analysis are valuable. Look for roles that provide mentorship, exposure to relevant tools like Python or Java, and opportunities to work on real projects. These internships can enhance skills, build a professional network, and improve job prospects after graduation.

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.
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Internship Economics Computer Science jobs near you

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Posted 15 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