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Data Science Co Op Jobs in Connecticut (NOW HIRING)

Engineering Co-Op

Groton, CT · On-site

$16.75 - $21.75/hr

Format data into spreadsheets, control charts, graphs and diagrams to aid in analysis. * Write ... co-op experience. * Will identify and recommend process improvements for specified projects.

Pursuing a Bachelor's degree in Computer Science or a related field. * Interest and ability to learn new programming languages & tools. * Organized, curious, and proactive team player who is results ...

Summer/Co-op Engineer

East Lyme, CT · On-site

$1.0K - $1.4K/wk

Materials Science * Instrumentation & Controls * Civil/Structural * Software Engineering Duties ... Asset Management and Business Operations Improvement including data analytics, automation, machine ...

$15 - $20/hr

... the co-op session * Must be authorized to work in the U.S. without requiring employer sponsorship * Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

$15.25 - $20.50/hr

... the co-op session * Must be authorized to work in the U.S. without requiring employer sponsorship * Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

$15 - $20/hr

... the co-op session * Must be authorized to work in the U.S. without requiring employer sponsorship * Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

$16 - $21.25/hr

... the co-op session * Must be authorized to work in the U.S. without requiring employer sponsorship * Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

$15.25 - $20.50/hr

... the co-op session * Must be authorized to work in the U.S. without requiring employer sponsorship * Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

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Showing results 1-20

Data Science Co Op information

See Connecticut salary details

$35.7K

$116.8K

$186.9K

How much do data science co op jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science co op in Connecticut is $116,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is a data science co op?

A Data Science Co-Op is a temporary, structured work experience program for students or early-career professionals to apply data science skills in a real-world setting. Co-Ops typically last several months and involve tasks such as data analysis, machine learning model development, and visualization. Participants work closely with data teams, gaining hands-on experience with tools like Python, SQL, and cloud platforms. Unlike internships, Co-Op positions may be full-time for a semester and often offer deeper engagement with projects. This experience helps build technical skills, industry knowledge, and professional connections for future career opportunities.

What kinds of projects or tasks can I expect to work on as a data science co op?

As a Data Science Co Op, you may be involved in a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or generating data visualizations to support business decisions. You’ll often work alongside more experienced data scientists, analysts, and cross-functional teams to collaboratively solve real-world problems using data. This role typically emphasizes hands-on learning and practical application of analytical techniques, offering a great opportunity to develop your technical and communication skills. In addition, you may participate in regular meetings, present findings, and contribute to ongoing research or product development initiatives.

What are the key skills and qualifications needed to thrive in the data science co op position, and why are they important?

To succeed as a Data Science Co Op, you should have a solid understanding of statistics, data analysis, and programming, typically gained through coursework or relevant experience in computer science, mathematics, or related fields. Familiarity with tools such as Python or R, SQL databases, and data visualization libraries is highly valuable, and experience with machine learning platforms or certifications can be advantageous. Effective communication, problem-solving, and a collaborative mindset help you excel in team-oriented, fast-paced environments. These competencies are crucial for analyzing complex datasets, delivering actionable insights, and supporting business decision-making.

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

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

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

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

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

The top searched job categories for Data Science Co Op jobs in Connecticut are:

What cities in Connecticut are hiring for Data Science Co Op jobs?

Cities in Connecticut with the most Data Science Co Op job openings:

Infographic showing various Data Science Co Op job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,759 per year, or $56.1 per hour.

$20 - $33/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Compensation Data
This position offers an hourly rate typically between $20/ hour and $33/ hour commensurate to the level of degree program in which an applicant is actively enrolled. For an overview of our benefits please click here.
Description
Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our IT Marketing and Sales, Data Driven Customer Insights team located at our Ridgefield, CT facility. As an Intern, you will collaborate with a highly skilled team of engineers, data scientists, and business stakeholders to develop, test, and deploy cutting-edge AI solutions that drive innovation and efficiency across our organization. Specifically, you will help to improve efficiency of Agentic AI systems to generate accurate and business specific insights from structured, unstructured, and multi-modal data.
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunities for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.
Duties & Responsibilities
  • Learn to work on Boehringer's existing GenAI and Agentic AI infrastructure to implement new projects
  • Interact with business stakeholders to understand project requirements and translate that to technical requirements
  • Develop quick PoCs and test to validate new ideas/project requirements
  • Study recent GenAI specific works and research ideas and propose such ideas to the team to either improve the efficiency existing systems or to solve new requirements
  • Present the work to the stakeholders including IT and Business representatives

Requirements
  • Must be a current undergraduate, graduate or advanced degree student in good academic standing.
  • Student must be enrolled at an accredited college or university for the duration of the internship/co-op.
  • Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale) preferred.
  • Major or minor in related field of internship/co-op.
  • Undergraduate students must have completed at least 12 credit hours at current college or university.
  • Graduate and advanced degree students must have completed at least 9 credit hours at current college or university.

Eligibility Requirements :
  • Must be legally authorized to work in the United States without restriction.
  • Must be willing to take a drug test and post-offer physical (if required).
  • Must be 18 years of age or older.

Desired Skills, Experience and Abilities
    • Currently pursuing a bachelor's or graduate degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field
    • Good understanding of topics such as LLM, Knowledge Graph, RAG, GraphRAG, and Agentic AI
    • Proficiency in Python and familiarity with libraries such as LangChain, LangGraph, Scikit-learn, TensorFlow, or PyTorch
    • Excellent analytical, problem-solving, and communication skills
    • Ability to work independently and in a collaborative team environment
    • Understanding machine learning and deep learning techniques is a plus
    • Prior experience in AWS or other enterprise software development environment is desired