1

Summer Math Jobs in Connecticut (NOW HIRING)

$30/hr

SUMMER 2027 ENGINEERING INTERNSHIP/CO-OP SpaceX seeks extraordinary students to join us for ... Must be enrolled in a bachelor's degree program in an engineering, physics or math discipline by ...

$100K/yr

SUMMER 2027 GRADUATE ENGINEER As a Graduate Engineer, you will be responsible for working on ... math discipline * Applicant for this graduate engineer position must be a (i) U.S. citizen or ...

New

Showing results 41-60

Summer Math information

See Connecticut salary details

$21.4K

$56K

$89.9K

How much do summer math jobs pay per year?

As of Aug 17, 2026, the average yearly pay for summer math in Connecticut is $55,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,800.00 and $66,600.00 per year, depending on experience, location, and employer.

What are summer math jobs?

Summer math jobs include temporary and seasonal roles in which you teach or tutor students over the summer months. As a summer math teacher or tutor, you work for educational programs in summer schools, tutoring centers, and in private sessions. Your main duties include planning mathematics lessons and instructing students in a classroom setting. You help pupils to understand complex mathematical processes and offer helpful study methods and strategies. Depending on the age of your students and the setting, you devise engaging math games and activities to reinforce concepts. Keeping students engaged and creating a welcoming and educational environment are key responsibilities.

What are summer math programs?

Summer Math programs are educational opportunities offered during the summer months to help students strengthen their math skills, catch up on missed concepts, or get ahead for the upcoming school year. These programs can take place in-person or online and are available for a range of grade levels. They often include interactive lessons, practice problems, and sometimes enrichment activities to make learning math more engaging. Participating in summer math can help prevent learning loss and boost students' confidence in mathematics.

What are the typical responsibilities of a summer math teacher?

In a Summer Math teaching role, you can expect to deliver engaging math lessons to students, often in small groups or one-on-one settings. Responsibilities include planning creative activities, assessing student progress, and providing targeted support to help students strengthen foundational math skills. You'll also collaborate with other educators to adapt curriculum materials and share best practices, ensuring a supportive and effective learning environment. Flexibility and strong communication are important, as you may work with students at various grade levels and abilities.

What are the key skills and qualifications needed to thrive as a summer math teacher?

To thrive as a Summer Math Teacher, you need solid knowledge of mathematics, effective lesson planning skills, and a relevant teaching credential or coursework in education. Familiarity with educational technology, classroom management systems, and math-specific software like GeoGebra or Desmos is often required. Excellent communication, patience, and creativity help engage students and adapt to diverse learning styles in a condensed timeframe. These skills are crucial for delivering effective instruction, maintaining student interest, and achieving learning outcomes during an accelerated summer program.

What are the most commonly searched types of Math jobs in Connecticut?

The most popular types of Math jobs in Connecticut are:

What are popular job titles related to Summer Math jobs in Connecticut?

For Summer Math jobs in Connecticut, the most frequently searched job titles are:

What cities in Connecticut are hiring for Summer Math jobs?

Cities in Connecticut with the most Summer Math job openings:

Infographic showing various Summer Math job openings in Connecticut as of August 2026, with employment types broken down into 72% Full Time, 21% Part Time, 3% Temporary, 3% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $55,971 per year, or $26.9 per hour.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT โ€ข On-site

Full-time

Posted 28 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.