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Summer Science Internship Jobs in Ridgefield, CT

AQR

2027 Research Summer Analyst

Greenwich, CT · On-site

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Finance, Economics, Computer Science, Math, Engineering, etc.) with a desire to work in the ...

AQR

2027 Research Summer Analyst

Greenwich, CT

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Finance, Economics, Computer Science, Math, Engineering, etc.) with a desire to work in the ...

AQR

2027 Research Summer Analyst

Greenwich, CT · On-site

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Finance, Economics, Computer Science, Math, Engineering, etc.) with a desire to work in the ...

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All JobsSummer Science JobsSummer Science Internship JobsSummer Science Internship Jobs in Ridgefield, CT

Summer Science Internship information

See Ridgefield, CT salary details

$8

$16

$23

How much do summer science internship jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for summer science internship in Ridgefield, CT is $16.41, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $17.26 per hour, depending on experience, location, and employer.

What types of projects or research tasks do interns typically work on during a summer science internship?

During a Summer Science Internship, interns often participate in hands-on research projects under the guidance of experienced scientists or faculty members. Typical tasks may include conducting experiments, collecting and analyzing data, and assisting with laboratory maintenance or fieldwork. Interns may also attend seminars, present their findings, and collaborate with other interns or team members. This experience provides valuable exposure to the scientific method, teamwork, and problem-solving in a real-world research setting.

What is a summer science internship?

A summer science internship is a temporary, often paid or unpaid, position for students or recent graduates to gain hands-on experience in scientific research or industry settings during the summer months. Interns work under the supervision of professionals, contribute to real projects, and develop practical skills in fields such as biology, chemistry, physics, or engineering. These internships are valuable for building a resume, networking, and exploring potential career paths in science. The length and structure of internships can vary, but most last between 8 to 12 weeks. Eligibility requirements may differ depending on the organization offering the internship.

What is the difference between Summer Science Internship vs Summer Research Assistant?

AspectSummer Science InternshipSummer Research Assistant
Required CredentialsHigh school or undergraduate student, some programs require specific courseworkUndergraduate or graduate student, often with relevant coursework or experience
Work EnvironmentEducational institutions, labs, or research centers; structured learning focusResearch labs, academic institutions; more hands-on research tasks
Employer & Industry UsageUniversities, research institutes, science organizations; aimed at skill developmentUniversities, labs, research projects; focused on assisting ongoing research

While both roles involve scientific work during summer, Summer Science Internships are typically educational programs for students to gain exposure and foundational skills, whereas Summer Research Assistants are more involved in active research projects, often requiring prior coursework or experience. Internships focus on learning, while research assistant roles emphasize supporting ongoing research activities.

What are the key skills and qualifications needed to thrive as a summer science intern, and why are they important?

To thrive as a Summer Science Intern, you need a solid background in science coursework, analytical thinking, and basic laboratory techniques, often demonstrated through academic achievement or relevant classes. Familiarity with lab equipment, data analysis software (such as Excel or specialized programs), and adherence to safety protocols are typically expected. Strong communication, curiosity, and teamwork skills help interns actively participate in research projects and collaborate effectively. These abilities are essential to contribute meaningfully to ongoing research, ensure safety, and maximize learning during the internship.
What are popular job titles related to Summer Science Internship jobs in Ridgefield, CT? For Summer Science Internship jobs in Ridgefield, CT, the most frequently searched job titles are:
What job categories do people searching Summer Science Internship jobs in Ridgefield, CT look for? The top searched job categories for Summer Science Internship jobs in Ridgefield, CT are:
What cities near Ridgefield, CT are hiring for Summer Science Internship jobs? Cities near Ridgefield, CT with the most Summer Science Internship job openings:
Summer Science Internship jobs near you
Infographic showing various Summer Science Internship job openings in Ridgefield, CT as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $34,123 per year, or $16.4 per hour.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

Full-time

Posted 17 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.

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