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Temporary Internship Recent Computer Science Graduate Jobs in Cape Cod, MA

SynergisticIT

Python Developer

Cambridge, MA · On-site

$55 - $75.75/hr

Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech ...

SynergisticIT

Junior Java/C++ Developer

Boston, MA · On-site

$72K - $94K/yr

Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and are looking to make their ...

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Temporary Internship Recent Computer Science Graduate information

See Cape Cod, MA salary details

$9

$18

$25

How much do temporary internship recent computer science graduate jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for temporary internship recent computer science graduate in Cape Cod, MA is $18.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $20.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temporary Internship Recent Computer Science Graduate, and why are they important?

To thrive as a Temporary Internship Recent Computer Science Graduate, you need foundational programming skills, problem-solving abilities, and a relevant degree or coursework in computer science. Familiarity with languages like Python, Java, or C++, as well as experience with version control systems such as Git, is typically expected. Strong communication, eagerness to learn, and teamwork help you stand out in a collaborative environment. These skills enable interns to contribute effectively, adapt quickly, and maximize their learning during the internship.

What is the difference between Temporary Internship Recent Computer Science Graduate vs Software Developer Intern?

AspectTemporary Internship Recent Computer Science GraduateSoftware Developer Intern
CredentialsRecent CS degree or equivalentRecent CS or related degree
Work EnvironmentEducational, training-focused, short-termProfessional, project-based, short-term
Employer UsageInternship programs, educational institutionsTech companies, startups, software firms
Search IntentEntry-level, training, career explorationTechnical skills, project experience

In summary, a Temporary Internship Recent Computer Science Graduate is typically a short-term, educational position aimed at gaining experience after graduation. A Software Developer Intern is a similar role focused on developing coding skills within a professional environment. Both roles serve as entry points into the tech industry but differ slightly in their focus and context.

What is a Temporary Internship for Recent Computer Science Graduates?

A Temporary Internship for Recent Computer Science Graduates is a short-term, entry-level position designed to provide hands-on experience in the tech industry. These internships typically last a few months and allow recent graduates to apply their academic knowledge to real-world projects, gain practical skills, and build professional networks. Interns may work on software development, data analysis, IT support, or other computer science-related tasks under the guidance of experienced professionals. This experience can help interns enhance their resumes and increase their chances of securing full-time employment in the field.

What types of projects or tasks can a Temporary Internship for a Recent Computer Science Graduate typically involve?

As a Temporary Intern with a recent Computer Science degree, you can expect to work on a variety of tasks such as assisting with coding, debugging software, participating in code reviews, and supporting ongoing projects under the guidance of experienced engineers. Interns are often involved in testing new features, maintaining documentation, and collaborating with cross-functional teams like QA or product management. This hands-on experience is designed to help you apply your academic knowledge, build your technical skills, and gain insight into real-world software development practices.
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What job categories do people searching Temporary Internship Recent Computer Science Graduate jobs in Cape Cod, MA look for? The top searched job categories for Temporary Internship Recent Computer Science Graduate jobs in Cape Cod, MA are:
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Temporary Internship Recent Computer Science Graduate jobs near you
Infographic showing various Temporary Internship Recent Computer Science Graduate job openings in Cape Cod, MA as of June 2026, with employment types broken down into 2% Internship, 3% As Needed, 73% Full Time, 11% Part Time, and 11% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $38,585 per year, or $18.6 per hour.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Posted 21 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)