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Data Science Intern Jobs in Manchester, CT (NOW HIRING)

Saransh Inc

Data Scientist

Hartford, CT · On-site

Role: Data Scientist Location/s: Hartford, CT (or) Stamford, CT (or) Morristown, NJ [Hybrid] (or) Remote for other USA locations Job Type: Contract * Data scientists develop robust, efficient, and ...

Pursuit Aerospace

Lead Data Scientist

Plainville, CT · On-site

Bachelor's degree required * 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes * 2+ years in SQL ...

Pursuit Aerospace

Lead Data Scientist

Manchester, CT · On-site

$144K - $198K/yr

Bachelor's degree required * 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes * 2+ years in SQL ...

Pursuit Aerospace

Lead Data Scientist

Manchester, CT · On-site

Bachelor's degree required * 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes * 2+ years in SQL ...

Pursuit Aerospace

Lead Data Scientist

Plainville, CT · On-site

$144K - $198K/yr

Bachelor's degree required * 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes * 2+ years in SQL ...

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All JobsData Science Intern JobsData Science Intern Jobs in Manchester, CT

Data Science Intern information

See Manchester, CT salary details

$12

$22

$42

How much do data science intern jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data science intern in Manchester, CT is $22.73, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $24.76 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Manchester, CT?

The most popular types of Data Science jobs in Manchester, CT are:

What are popular job titles related to Data Science Intern jobs in Manchester, CT?

For Data Science Intern jobs in Manchester, CT, the most frequently searched job titles are:

What job categories do people searching Data Science Intern jobs in Manchester, CT look for?

The top searched job categories for Data Science Intern jobs in Manchester, CT are:

What cities near Manchester, CT are hiring for Data Science Intern jobs?

Cities near Manchester, CT with the most Data Science Intern job openings:

Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Manchester, CT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,277 per year, or $22.7 per hour.

Data Scientist

Saransh Inc

Hartford, CT • On-site

Contractor

Re-posted 26 days ago

Job description

Role: Data Scientist
Location/s: Hartford, CT (or) Stamford, CT (or) Morristown, NJ [Hybrid] (or) Remote for other USA locations
Job Type: Contract
 
Job Description:
  • Data scientists develop robust, efficient, and scalable AI models to extract valuable information from various unstructured data sources, including but not limited to PDFs, Word documents, and Excel files.
  • They design and implement logic to process this data and generate meaningful outputs to support user decision-making.
  • Candidates must possess extensive experience with Python, large language models (LLMs), machine learning techniques, data structures, and algorithms.
  • Their expertise enables them to create innovative solutions that handle complex data processing challenges effectively.