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Entry Level Computer Science Internships Jobs in Massachusetts

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

... data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent ... entry-level data science concepts) * Experience writing code in Python * Experience handling ...

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Entry Level Computer Science Internships information

What types of projects or tasks can I expect to work on during an entry-level computer science internship?

As an entry-level computer science intern, you can expect to work on a variety of tasks such as assisting with software development, debugging code, writing documentation, and performing quality assurance testing. Interns often collaborate with full-time engineers on real-world projects, gaining exposure to the software development lifecycle and agile methodologies. You'll likely participate in team meetings, code reviews, and may have the opportunity to contribute to new features or improvements under the guidance of a mentor. This hands-on experience is valuable for building skills and expanding your professional network.

What is the difference between Entry Level Computer Science Internships vs Software Developer Internships?

AspectEntry Level Computer Science InternshipsSoftware Developer Internships
Required CredentialsTypically pursuing or recently completed a computer science degreeSame as above, often with some coding coursework
Work EnvironmentAcademic, corporate, or startup settings; focus on learning and supportDevelopment teams; hands-on coding and project work
Employer & Industry UsageUniversities, tech companies, startups, government agenciesTech companies, software firms, startups

Entry Level Computer Science Internships and Software Developer Internships both target students or recent graduates with a background in computer science. The main difference lies in the focus: internships labeled as "Computer Science" often emphasize foundational knowledge and learning, while "Software Developer" internships are more focused on hands-on coding and project development. Both roles serve as valuable stepping stones into tech careers, with similar educational requirements and work environments.

What are entry level computer science internships?

Entry level computer science internships are short-term positions designed for students or recent graduates who are looking to gain practical experience in the field of computer science. These internships typically involve working on software development, data analysis, IT support, or other technical projects under the supervision of experienced professionals. They provide hands-on learning opportunities, exposure to real-world problems, and a chance to build professional networks, making them an important step toward a career in technology.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Intern, and why are they important?

To thrive as an Entry Level Computer Science Intern, you generally need a foundational knowledge of programming languages (such as Python, Java, or C++), problem-solving abilities, and current enrollment in or completion of a relevant degree program. Familiarity with version control systems like Git, basic software development tools, and sometimes experience with databases or cloud platforms is typically expected. Strong communication, eagerness to learn, and teamwork skills help interns integrate smoothly and contribute effectively to projects. These skills and qualities are crucial for adapting quickly, collaborating with colleagues, and making the most of hands-on learning opportunities in a professional environment.
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Entry Level Computer Science Internships jobs near you

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 11 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