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Data Science Intern Jobs in Connecticut (NOW HIRING)

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

Support the end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of business impact * Partner with cross-functional teams to ...

We are seeking an intern to join our Quantitative Analysis Department for FALL 2026. Primary ... CE Data Science Project To provide CE with more actionable data for making better and more ...

Required : • 8+ Years of experience • Strong understanding of core Data Science and Machine Learning concepts • Proven experience building, training, validating, and deploying ML models • ...

... Ability Data Science • Experience with machine learning, AI, and cognitive service engine models • Experience with programming languages like SQL, Python, R, and Scala • Using analytics ...

This role will challenge the status quo, apply modern data science and AI approaches, and translate complex analyses into clear, actionable insights. • Write production-quality code for data ...

This role will challenge the status quo, apply modern data science and AI approaches, and translate complex analyses into clear, actionable insights. • Write production-quality code for data ...

Associate Data Scientist

Stamford, CT · On-site +1

$62K - $63K/yr

What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field. * 1+ years of experience applying data science and machine learning ...

New

Associate Data Scientist

Stamford, CT · On-site

$62K - $63K/yr

What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field. * 1+ years of experience applying data science and machine learning ...

New

$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 ...

$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 ...

New

$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 ...

New

Showing results 41-60

Data Science Intern information

See Connecticut salary details

$11

$21

$40

How much do data science intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data science intern in Connecticut is $21.41, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $23.32 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 Connecticut?

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

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

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

Infographic showing various Data Science Intern 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 $44,529 per year, or $21.4 per hour.

Full-time

Posted 3 days ago

New


Job description

Application Deadline: October 9th 12:00 pm EST

The Cybersecurity Intern will support CCI's Technology organization in protecting the firm's networks, systems, applications, identities, data, and business operations. This hands-on internship is designed for a student who wants practical exposure to enterprise cybersecurity while contributing to supervised, meaningful work across security operations, vulnerability and exposure management, identity and access security, data protection, AI security governance, third-party risk, incident-response readiness, and security awareness. The intern will work closely with Cybersecurity, Infrastructure, Data Science, DevOps, Global Client Services, Helpdesk, and business stakeholders in a global, fast-paced environment.

What You Will Work On

The internship will be structured around a small number of supervised project tracks selected based on business priorities, the intern's skills, and the team's capacity. Potential assignments may include:

  • Security operations and threat detection: Assist with alert review, evidence collection, initial triage notes, escalation summaries, and detection-quality improvement under clear analyst guidance.

  • Vulnerability and exposure management: Support tracking, documentation, and prioritization of security findings across endpoints, cloud, external attack surface, applications, and legacy/EOS technology risk, including remediation follow-up and reporting.

  • Incident-response readiness: Help maintain incident-response documentation, escalation references, tabletop materials, post-incident action tracking, and lessons-learned templates.

  • Identity, access, and privileged access controls: Contribute to documentation and analysis supporting MFA, Conditional Access, PIM/JIT access, service-account ownership, privileged-access workflows, and access-review improvements.

  • Data protection and AI security governance: Support policy-to-control mapping, AI tool/use-case inventory, approved-use documentation, data-handling guidance, DLP/Purview planning materials, and safe AI usage communications.

  • Cloud, application, and DevSecOps security: Assist with organizing findings and project materials related to secure SDLC, dependency control, secrets detection, container/cloud security, approved software sourcing, and developer security enablement.

  • Third-party and supply-chain risk: Help collect and organize vendor/security review materials, map risk themes, and document decision-ready summaries for Cybersecurity review.

  • Security awareness and culture: Assist with role-based awareness content, phishing and social-engineering education, AI-threat communications, campaign reporting, and end-user guidance.

  • Governance, metrics, and executive reporting: Help maintain Jira/workstream hygiene, dashboards, risk summaries, KPI/KRI inputs, project status updates, and concise leadership-ready reporting.

What the Intern Will Gain

  • Practical exposure to how a cybersecurity program operates inside a global commodities and energy trading organization.

  • Experience translating technical findings into clear, business-relevant documentation and recommendations.

  • Experience working with SOC, vulnerability management, identity, cloud, DevSecOps, data protection, AI governance, and cyber-risk stakeholders.

  • A stronger understanding of risk-based decision-making, human-in-the-loop validation, confidentiality, and responsible handling of sensitive information.

  • A clear view of cybersecurity career paths and the capabilities expected of analysts who may be considered for future full-time opportunities.

Qualifications

  • Currently pursuing a bachelor's or master's degree in Cybersecurity, Data Science, Computer Science, Information Systems, Information Technology, Engineering, or related field.

  • Expected graduation in December 2027 or Spring 2028 preferred, though strong candidates with adjacent graduation dates may be considered.

  • Strong interest in cybersecurity, information security, technology risk, infrastructure security, application security, cloud security, or security operations career with strong emphasis on applied GenAI/agentic AI use in detection, analysis, and response of cyber events and AI process automation.

  • Foundational understanding of core cybersecurity concepts such as identity and access management, endpoint security, network security, cloud security, vulnerability management, phishing/social engineering, incident response, and data protection.

  • Familiarity with one or more of the following is helpful: SIEM/security monitoring, Microsoft security tools, including Microsoft Purview, CrowdStrike or EDR concepts, ServiceNow/Jira, scripting, PowerShell/Python, cloud platforms, vulnerability scanners, Git/Bitbucket, container security, DLP/Purview, or AI security concepts.

  • Strong analytical, investigative, writing, documentation, and organizational skills.

  • Ability to handle sensitive information responsibly and follow confidentiality, data handling, and approval requirements.

  • Curiosity, creativity, humility, reliability, and willingness to ask questions before acting when the risk or proper process is unclear.

  • Ability to communicate clearly with technical and non-technical colleagues and to convert complex issues into concise summaries.

  • Experience through coursework, labs, student organizations, certifications, prior internships, capture-the-flag activities, open-source projects, or independent research is a plus.

  • Exposure to operational technology, industrial control systems, or commodity/energy infrastructure risk is a plus but not required.

Candidate Profile and Future Opportunity Fit

This role is intended to be valuable both as a summer learning experience and as a potential early-career talent pipeline. Successful interns will demonstrate sound judgment, good documentation habits, careful handling of confidential information, intellectual curiosity, follow-through, and the ability to learn from feedback.

The intern will not be expected to act as an independent security analyst or approve security decisions. Work will be supervised, evidence-based, and aligned to CCI process and policy expectations.

Because some interns may later be considered for future roles, the internship should include structured feedback, exposure to multiple cybersecurity domains, and at least one tangible work product that demonstrates analytical quality, communication skill, and ownership.