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Internship Computer Science Startup Jobs in Flushing, NY

Octaura

Intern, Data Engineering

New York, NY

... paced startup environment. The energy in the office is palpable, and employees look forward to ... Strong communication and analytical skills * (Tech interns) Major in Computer Science, Data ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Startup Talents

Hands-on CTO

Manhattan, NY · On-site

$180 - $250/hr

Education Bachelor's degree in Computer Science, Engineering, or a closely related field ... Startup or high‑growth company exposure. * Hands‑on technical credibility. * Ability to lead ...

Customer Operations

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

Knowledge of computer science principles such as algorithms, data structures and design methodologies Preferred Qualifications Experience * Internship experience in a data scientist role #LI-JV1 ...

Swayable

Research Data Scientist

Manhattan, NY · On-site

... startup environment • Experience interacting with MongoDB databases • Bachelors/Masters/PhD in data science, statistics, physics, mathematics, bioinformatics, computer science, or a related ...

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Internship Computer Science Startup information

What does an internship at a computer science startup involve?

An internship at a computer science startup typically involves working on real-world projects, collaborating with experienced engineers, and contributing to software development tasks. Interns may help with coding, debugging, testing, or developing new features, and are often exposed to various aspects of the business, such as product design and customer feedback. Startups usually offer a fast-paced, hands-on learning environment where interns can gain valuable technical and professional skills while making a meaningful impact.

What are the key skills and qualifications needed to thrive as an intern at a computer science startup?

To thrive as an intern at a computer science startup, you need a solid understanding of programming fundamentals, problem-solving skills, and ideally, coursework or experience in areas like algorithms, data structures, or web development. Familiarity with version control systems (like Git), cloud platforms, and common programming languages such as Python or JavaScript is often required. Initiative, adaptability, and strong communication are crucial soft skills for collaborating in a fast-paced, innovative environment. These skills and qualities enable interns to contribute effectively, learn quickly, and grow within the dynamic culture of a startup.

What types of projects or tasks do computer science interns typically work on at startups?

Computer science interns at startups often work on a variety of hands-on projects, such as building new features, fixing bugs, or prototyping innovative ideas. Because startups tend to have smaller teams, interns may have the opportunity to contribute code directly to the product and collaborate closely with engineers, designers, and sometimes even founders. This environment fosters rapid learning and exposure to the full software development lifecycle. Interns may also participate in code reviews, daily standups, and brainstorming sessions, making their work both impactful and dynamic.

What is the difference between Internship Computer Science Startup vs Software Developer Intern?

AspectInternship Computer Science StartupSoftware Developer Intern
Required CredentialsEnrolled in CS or related degree, basic coding skillsEnrolled in CS or related degree, coding skills
Work EnvironmentFast-paced startup setting, collaborative teamsCorporate or startup, team-based projects
Employer & IndustryStartup companies in tech, innovation sectorsTech companies, software firms, startups
Search & Comparison IntentUnderstanding internship roles in startupsComparing internship roles in software development

Internship Computer Science Startup positions typically involve working in dynamic startup environments, focusing on innovative projects with a broad range of responsibilities. Software Developer Intern roles are more structured, often within established companies, emphasizing specific coding tasks. Both require similar educational backgrounds and skills, but the startup internship offers a more versatile experience in a fast-growing setting.

What job categories do people searching Internship Computer Science Startup jobs in Flushing, NY look for?

The top searched job categories for Internship Computer Science Startup jobs in Flushing, NY are:

What cities near Flushing, NY are hiring for Internship Computer Science Startup jobs?

Cities near Flushing, NY with the most Internship Computer Science Startup job openings:

Internship Computer Science Startup jobs near you
Infographic showing various Internship Computer Science Startup job openings in Flushing, NY as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 3% Temporary, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Full-time

Re-posted 8 days ago

Job description

About the Internship
A New York based Hedge Fund is seeking an Undergraduate Quantitative Research Intern to join their quantitative research team. This internship is designed for undergraduate students interested in applying mathematics, statistics, programming, and data analysis to financial markets.
You will work alongside experienced researchers and traders to explore market data, test research ideas, and help evaluate systematic trading strategies. This is a hands-on opportunity to gain exposure to quantitative finance in a collaborative and intellectually challenging environment.
Requirements
Responsibilities
  • Analyze financial and market datasets using statistical methods.
  • Assist with research on systematic trading strategies.
  • Clean, organize, and validate large datasets.
  • Build simple models and backtests under researcher supervision.
  • Write Python code for data analysis, visualization, and research workflows.
  • Summarize findings clearly through charts, reports, or presentations.
  • Collaborate with researchers, traders, and engineers on research projects.
  • Learn how quantitative research ideas are developed, tested, and evaluated.
Qualifications
  • Currently pursuing a bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Expected graduation date of 2028 or 2029.
  • Strong academic performance in quantitative coursework.
  • Programming experience in Python.
  • Familiarity with probability, statistics, linear algebra, or optimization.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical ideas clearly.
Preferred Qualifications
  • Experience with pandas, NumPy, matplotlib, scikit-learn, or similar tools.
  • Coursework or projects involving data analysis, machine learning, econometrics, or time series.
  • Familiarity with SQL or databases.
  • Participation in math, programming, trading, data science, or research competitions.
  • Prior internship, academic research, or independent project involving quantitative analysis.

Benefits
What You'll Gain
  • Exposure to real-world quantitative research and systematic trading.
  • Mentorship from experienced researchers and traders.
  • Practical experience working with financial data.
  • Opportunity to contribute to meaningful research projects.
  • A deeper understanding of careers in quantitative finance.

Apply