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Economics And Computer Science Jobs in Massachusetts

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.

MIT Human Resources

Research Scientist 1

Cambridge, MA · On-site

... Computer Science and Artificial Intelligence Lab , to join the FutureTech Group to conduct research assessing the pace of progress in AI and how it maps to economic outcomes such as job automation.

PanAgora

Intern, Dynamic

Boston, MA · On-site

$2.5K - $4.5K/wk

Coursework in finance, mathematics, economics, computer science * Must have excellent mathematical, problem-solving and/or programming skills * Familiarity with accounting, financial statement ...

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PanAgora

Intern, Dynamic

Boston, MA

$2.5K - $4.5K/wk

Coursework in finance, mathematics, economics, computer science * Must have excellent mathematical, problem-solving and/or programming skills * Familiarity with accounting, financial statement ...

New

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Economics And Computer Science information

Economics And Computer Science jobs near you
Infographic showing various Economics And Computer Science job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% 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