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Summer Data Science Jobs in Connecticut (NOW HIRING)

Synchrony

BLP Intern - Data Analytics

Stamford, CT · On-site

During the summer, each BLP Intern is provided with project work that is important to our business ... leveraging data science to develop cutting-edge machine learning models to predict customer ...

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Summer Data Science information

What is a Summer Data Science internship?

A Summer Data Science internship is a temporary, often 8-12 week, position for students or recent graduates to gain hands-on experience in data science during the summer months. Interns typically work on real-world projects involving data collection, cleaning, analysis, and visualization, using tools like Python, R, and SQL. These internships provide valuable exposure to industry practices, mentorship from experienced data scientists, and opportunities to develop technical and analytical skills. They are commonly offered by tech companies, finance firms, healthcare organizations, and startups.

What types of projects can I expect to work on as a Summer Data Science intern?

As a Summer Data Science intern, you can typically expect to work on real-world projects involving data cleaning, exploratory data analysis, and building predictive models under the supervision of experienced data scientists. You may be tasked with analyzing large datasets, visualizing findings, and contributing to presentations that inform business decisions. Collaboration is common, so you'll likely work closely with team members from engineering, analytics, and business units to refine project goals and deliver actionable insights. This hands-on experience is designed to help you develop technical skills while understanding how data science impacts organizational objectives.

What are the key skills and qualifications needed to thrive as a Summer Data Science intern?

To excel as a Summer Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or a degree in a quantitative field. Familiarity with tools such as SQL, Jupyter Notebooks, and data visualization platforms, as well as experience with machine learning libraries, is typically expected. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to contribute meaningful analyses, adapt quickly to new challenges, and add value to data-driven projects in a short timeframe.

What is the difference between Summer Data Science vs Summer Data Analyst?

AspectSummer Data ScienceSummer Data Analyst
Required CredentialsTypically requires coursework or degree in data science, statistics, or related fieldsOften requires degree or coursework in data analysis, statistics, or business analytics
Work EnvironmentCollaborates with data scientists, engineers, and product teams on complex data projectsWorks with business teams to interpret data, generate reports, and support decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for advanced data modelingCommon in marketing, retail, finance, and operations for data reporting and insights

Summer Data Science roles focus on developing predictive models and advanced analytics, often requiring stronger technical skills. Summer Data Analysts typically handle data reporting and visualization to support business decisions. Both roles are valuable in data-driven industries but differ in technical depth and project scope.

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 Summer Data Science jobs in Connecticut?

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

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

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

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

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

Summer Data Science jobs near you
Infographic showing various Summer Data Science job openings in Connecticut as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Associate Research Scientist in Biostatistics, Data Science Data Equity

Yale University

New Haven, CT • On-site

$59K - $59K/yr

Full-time

Re-posted 3 days ago

Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

70th of 627 rated colleges and universities

Job description

Description
We are actively recruiting an Associate Research Scientist as part of the new schoolwide Public Health Data Science and Data Equity Initiative, with a primary appointment in the Department of Biostatistics.
The Associate Research Scientist will work with Dr. Bhramar Mukherjee, Ph.D, the inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics and Professor of Chronic Disease Epidemiology. The research involved will focus on analysis of electronic health records linked to biobanks, real-world healthcare data. There may also be opportunities for collaboration with faculty with experience in cancer and cardiovascular diseases. Involvement in training and mentoring and helping to organize an undergraduate summer program in biostatistics and data science will be an integral part of the position. The position is for a one-year term that is renewable based on availability of resources, satisfactory performance and progress.
Responsibilities include:
• Providing expert biostatistical/computational consultation and collaboration on study design, implementation, analysis and the preparation of protocols, grants, and manuscripts for projects related to real world healthcare data as part of the Public Health Data Science and Data Equity Initiative
• Coding and visualization in R/Python
• Planning, conducting and overseeing comprehensive statistical analysis of biobank data
• Creating digital ecosystems that enables external linkage and harmonization across global biobanks
• Publishing and presenting research results in peer-reviewed professional journals and at scientific conferences.
• Developing tools and processes that enable seamless integration and analysis of multiple biobanks by community researchers
• Helping with programs and educational initiatives related to public health data science
• Engage in novel biostatistical research related to electronic health records, selection bias, missing data, causal inference and machine learning
Additional information on the Yale School of Public Health, the Department of Biostatistics, and the Department of Chronic Disease Epidemiology at the School of Public Health can be found via the links below:
About Us | Yale School Of Public Health
Biostatistics | Yale School of Public Health
Chronic Disease Epidemiology Department | Yale School of Public Health
Organization: Yale School of Public Health
Department: Biostatistics
Primary Location: New Haven, CT
Education Level: PhD
Shift: Days, 40 hours/week
Expected Start Date: As early as May 1, 2025
Qualifications
Qualifications:
• Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science or a related field.
• Demonstrated track record of research and publication.
• Excellent oral and written communication skills and the ability to work effectively with a wide range of constituencies in a diverse interdisciplinary team.
• Proficiency with statistical computing (e.g., R, Python or C/C++).
• Interest and expertise in large-scale data management, linkage and data integration.
• Demonstrated capacity to work both collaboratively and independently.
• Ability to handle complex topics and explain them well to practitioners and non-quantitative audience.
• Strong strategic, analytical, and problem-solving skills.
• Strong interpersonal, project leadership, and management skills to facilitate timely and professional deliverables.
• Previous mentoring and teaching experiences are desirable but not required.
• A minimum of 2-5 years of experience in a research statistician, collaborative quantitative data scientist role is preferred.
Application Instructions
To apply:
Applicants are asked to submit a (1) CV, (2) cover letter that addresses their specific interest in this position, (3) statement of research/professional accomplishments/interests and (4) the names and contact information for three professional references via Interfolio. Review of applications will begin immediately and will continue until the position is filled.
Questions regarding this position should be directed to: matthew.schlager@yale.edu

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