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Data Science Internships Jobs in Connecticut (NOW HIRING)

Crowe LLP

Machine Learning Intern

Hartford, CT

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Crowe LLP

Machine Learning Intern

Hartford, CT · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

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 ...

Gartner, Inc.

Associate Data Scientist

Stamford, CT · On-site

$62K - $63K/yr

... data science and machine learning techniques through professional work, internships, or research. * Experience with Python, SQL, statistical analysis, and databases. * Curiosity and a growth mindset ...

Gartner

Associate Data Scientist

Stamford, CT · On-site +1

$62K - $63K/yr

... data science and machine learning techniques through professional work, internships, or research. * Experience with Python, SQL, statistical analysis, and databases. * Curiosity and a growth mindset ...

Gartner, Inc.

Associate Data Scientist

Stamford, CT · On-site

$90 - $118/hr

We are seeking a talented Associate Data Scientist to join the Marketing Technology team within ... science and machine learning techniques through professional work, internships, or research.

Synchrony

BLP Intern - Data Analytics

Stamford, CT

Business Leadership Program Internship Overview: Synchrony's Business Leadership Program Summer ... leveraging data science to develop cutting-edge machine learning models to predict customer ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

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All JobsData Science Internships JobsData Science Internships Jobs in Connecticut

Data Science Internships information

See Connecticut salary details

$21.6K

$106.2K

$203.7K

How much do data science internships jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data science internships in Connecticut is $106,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,165.00 and $154,554.00 per year, depending on experience, location, and employer.

What is a data science internship?

A Data Science Internship is a temporary position where students or recent graduates gain hands-on experience in data analysis, machine learning, and statistical modeling. Interns typically work with real-world datasets, build predictive models, and assist in data-driven decision-making processes. They may use programming languages like Python or R, tools such as SQL, and visualization libraries to communicate insights. This role helps develop technical and analytical skills while providing exposure to industry practices.

What do data science interns do?

Data Science Interns usually assist with tasks such as data cleaning and preprocessing, exploratory data analysis, developing and testing predictive models, and creating data visualizations to help teams make informed decisions. Interns often collaborate closely with data scientists, engineers, and business analysts, allowing them to contribute to larger, real-world projects while learning best practices. Daily responsibilities might also include attending team meetings, presenting results to stakeholders, and documenting their work. This hands-on experience allows interns to apply academic knowledge, build a professional portfolio, and prepare for future opportunities in the field.

What skills and qualifications are needed for data science internships?

To excel in Data Science Internships, a solid understanding of statistics, programming (often in Python or R), and data analysis is typically required, often supported by progress toward a degree in a related field. Familiarity with tools like SQL, Jupyter notebooks, data visualization libraries, and sometimes cloud platforms or machine learning frameworks is common. Strong problem-solving abilities, attention to detail, and effective communication skills help interns succeed in team environments. These skills enable interns to analyze real-world datasets, communicate findings clearly, and contribute meaningful insights to organizational projects.

What do you do as a data science internship?

A data science internship involves assisting with data collection, cleaning, analysis, and visualization to support business decisions. Interns often work with tools like Python, R, and SQL, and may contribute to building predictive models or dashboards under supervision. The role provides practical experience in data analysis and machine learning techniques within a professional environment.

What are the most commonly searched types of Data Science Internships jobs in Connecticut?

The most popular types of Data Science Internships jobs in Connecticut are:

What are popular job titles related to Data Science Internships jobs in Connecticut?

For Data Science Internships jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Data Science Internships jobs in Connecticut look for?

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What cities in Connecticut are hiring for Data Science Internships jobs?

Cities in Connecticut with the most Data Science Internships job openings:

Data Science Internships jobs near you
Infographic showing various Data Science Internships job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $106,243 per year, or $51.1 per hour.

Data Science Machine Learning Internship (Summer 2027)

Stamford, CT • On-site

Castleton Commodities International, LLC
Oil and Gas Extraction • 501 - 1,000 employees
Learn more about Castleton Commodities International, LLCexternal

Full-time

Re-posted 6 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.

Apply