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Computer Science Summer Jobs in Reading, MA (NOW HIRING)

Wit

Assistant Professor, Applied Mathematics

Boston, MA

$89K - $106K/yr

... Computer Science, Cybersecurity, Data Science, and Information Technology, as well as graduate ... The faculty contracts are for two semesters (fall and spring) with optional summer teaching, which ...

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Computer Science Summer information

What Are Summer Jobs in Computer Science?

Summer computer science jobs are for students, teachers, or academics who want to work in computer-related positions or undertake internships that provide experience in fields such as IT or software development. In these short term jobs, your duties depend on the needs of your employer. A computer science instructor can work with students of various ages to teach computer skills during summer school or a computer camp. As an intern, you might work on programming, computer engineering, or database administration tasks as part of an internship program. Academic professionals can work on research projects that have a programming component during the summertime.

What kinds of projects or tasks can I expect to work on during a Computer Science Summer internship?

During a Computer Science Summer internship, you can expect to work on a variety of hands-on projects ranging from software development and debugging to data analysis and algorithm design. Interns often collaborate with experienced engineers, participate in code reviews, and may contribute to ongoing company initiatives or build prototypes for new features. The work environment is typically team-oriented, providing opportunities to learn from peers and mentors while gaining practical experience with real-world systems and tools. This exposure helps interns develop technical skills and gain insight into potential career paths within computer science.

What are Computer Science Summer programs?

Computer Science Summer programs are short-term educational opportunities, usually held during the summer months, that allow students to explore computer science through hands-on projects, coursework, and workshops. These programs are often designed for high school or college students who want to gain practical experience in areas like programming, robotics, artificial intelligence, or cybersecurity. Participants may collaborate on group projects, attend lectures from industry professionals, and build a foundation for future studies or careers in technology. Programs can be found at universities, online, or through specialized organizations, and they often provide networking opportunities and exposure to the latest industry trends.

What are the key skills and qualifications needed to thrive as a Computer Science Summer Intern, and why are they important?

To thrive as a Computer Science Summer Intern, you typically need foundational knowledge in programming, data structures, and algorithms, often gained through coursework or a related degree program. Familiarity with languages like Python or Java, version control systems such as Git, and exposure to software development tools is common. Strong problem-solving skills, willingness to learn, and effective teamwork set outstanding interns apart. These abilities enable interns to contribute meaningfully to projects, adapt quickly, and integrate well with professional teams during their short tenure.
More about Computer Science Summer jobs
What cities near Reading, MA are hiring for Computer Science Summer jobs? Cities near Reading, MA with the most Computer Science Summer job openings:
Computer Science Summer jobs near you
Infographic showing various Computer Science Summer job openings in Reading, MA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Re-posted 10 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 extensionÂ