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Python Developer Intern Jobs in Stony Brook, NY (NOW HIRING)

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Python Developer Intern information

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How much do python developer intern jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for python developer intern in Stony Brook, NY is $24.88, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $26.39 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on as a Python developer intern?

As a Python Developer Intern, you may work on a variety of tasks ranging from writing and testing code to debugging existing applications and developing new features under the supervision of senior developers. You could be involved in supporting ongoing software development projects, automating routine processes, or contributing to data analysis efforts, depending on the team's focus. Interns often collaborate with mentors and other team members through code reviews, stand-up meetings, and paired programming sessions. This hands-on experience provides valuable exposure to industry best practices and helps build a strong foundation for future advancement within software development roles.

What are the key skills and qualifications needed to thrive as a Python developer intern?

To thrive as a Python Developer Intern, you need a solid understanding of Python programming, problem-solving abilities, and foundational knowledge of computer science principles, often backed by coursework or personal projects. Familiarity with version control systems like Git, basic databases, and frameworks such as Flask or Django can be advantageous, though formal certifications are not always required. Effective collaboration, strong communication, and a willingness to learn help interns stand out in dynamic development teams. These skills are essential for quickly adapting to real-world projects, contributing meaningfully, and developing as a professional in a fast-paced tech environment.

What is a Python developer intern?

A Python Developer Intern is an entry-level role where interns assist in developing, testing, and maintaining software applications using Python. They work under the guidance of senior developers to write clean and efficient code, debug issues, and collaborate with teams on various projects. Interns may also gain experience with frameworks like Django or Flask, databases, and APIs. This role helps build hands-on programming skills and provides valuable industry experience for future opportunities.

What are the most commonly searched types of Python Developer jobs in Stony Brook, NY? The most popular types of Python Developer jobs in Stony Brook, NY are:
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What cities near Stony Brook, NY are hiring for Python Developer Intern jobs? Cities near Stony Brook, NY with the most Python Developer Intern job openings:
Infographic showing various Python Developer Intern job openings in Stony Brook, NY as of August 2026, with employment types broken down into 14% Internship, 37% Full Time, 34% Part Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $51,752 per year, or $24.9 per hour.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

Full-time

Posted 21 days ago


Job description

Application Deadline: September 1, 11:59pm EST
Program Summary - Commercial Technology Internships
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.
Responsibilities:
  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:
  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.