15 AI Internships for Undergraduates in Connecticut
As industries become more data-driven, opportunities in specialized areas like artificial intelligence have become more common within these early career pathways. Connecticut offers undergraduates a strong environment for AI internships by blending cutting-edge research from institutions like Yale and UConn with practical applications in the state's robust insurtech and healthcare sectors. Furthermore, its strategic location provides easy networking access to major tech hubs like New York City and Boston while maintaining a more manageable cost of living.
You can check out other AI internships available for undergraduates in our blog here!
Why should I do an artificial intelligence internship in college?
An artificial intelligence internship during college allows you to translate academic knowledge into practical experience. You develop technical skills by working with programming languages, data pipelines, and machine learning models in applied contexts. Many AI internships also introduce you to collaborative workflows, where you contribute to team-based projects and communicate findings to different stakeholders. These experiences can help clarify interests within the field, whether in research, engineering, or analytics, while building relevant technical skills. In addition, these experiences can help you understand how AI is implemented across industries, from research labs to business operations.
To help you find the best fit, below are 15 AI internships for undergraduates in Connecticut.
1. Yale University Computer Science Research Internship Program
Location: New Haven, CT
Stipend: Paid, amount not disclosed
Acceptance rate/cohort size: Highly selective; cohort size determined by faculty availability and the number of successful matches between researchers and applicants
Dates: Summer; typically 8–10 weeks (variable duration), usually running from early June through August
Application Deadline: December 15
Eligibility: Undergraduates currently pursuing a degree in CS or related fields
This AI internship allows undergraduates to engage in research projects under the guidance of faculty working in computer science and related fields. Your work depends on the research group you are matched with, which may include areas such as machine learning, data systems, or algorithm design. Interaction with faculty and research teams provides insight into how theoretical concepts are applied in practice. The structure is less standardized, with a strong emphasis on independent inquiry and collaboration within a research setting. You gain experience working on open-ended problems, often contributing to ongoing academic research efforts.
2. Ladder University Internship Program
Location: Virtual
Cost/Stipend: Cost varies depending on the program type; financial aid is available / No stipend
Acceptance rate/cohort size: Around 10%; 70–100 students per cohort
Dates: Several cohorts year-round, including summer, fall, winter, and spring
Application Deadline: Varies by cohort
Eligibility: Undergraduates and gap-year students who can work for 10–20 hours per week for 8–12 weeks
The Ladder University Internship Program connects you with startups and growing companies, where your work may involve data analysis, automation, or AI-related tasks. Projects are typically structured around real business problems, requiring you to apply technical tools in practical contexts. You also receive mentorship and feedback, which helps you refine both technical and communication skills. The structure blends independent work with guided learning, giving you exposure to how AI-related workflows function in smaller teams. As an AI internship pathway for undergraduates, it focuses on applied experience and iterative skill-building. Apply now!
3. Pitney Bowes Artificial Intelligence Intern
Location: Shelton, CT
Stipend: $22 – $25 per hour
Acceptance rate/cohort size: Highly selective; approximately 15–20 interns per year
Dates: Early June 1 – Early August
Application Deadline: Rolling
Eligibility: Undergraduate currently pursuing an undergraduate or Master’s degree in CS, AI, Data Science, or related fields; possess U.S. work authorization; proficiency in Python and exposure to cloud platforms (AWS/GCP)
This AI internship centers on developing and testing machine learning models within an engineering team. You assist with tasks such as data preparation, feature exploration, and evaluating model performance across prediction and classification problems. The role also involves building prototypes or proof-of-concept tools using Python and cloud-based technologies. In addition, you contribute to documenting experiments and summarizing results for technical teams. Through debugging and refining AI workflows, you get structured exposure to applied machine learning and generative AI use cases.
4. The Hartford Insurance Summer Internships
Location: Hartford, CT
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Selective; typically exceeding 100+ interns across all departments
Dates: Summer Internship: Late May/Early June – August (approx. 11 weeks); Early Immersion Program: August (intensive 3-day workshop for sophomores)
Application Deadline: Open until positions are filled, typically by April
Eligibility: Undergraduates (primarily rising Juniors and Seniors); Minimum 3.0 cumulative GPA; must be pursuing a relevant degree (Finance, Math, IT, Business, etc.); U.S. Citizenship or Permanent Residency is generally required
These internships for undergraduates in Connecticut allow you to engage with data, analytics, and technology-focused projects that align with business and risk-related applications. The program includes structured learning components, such as instructor-led sessions designed to build your technical toolkit beyond classroom knowledge. Your work may involve analyzing datasets, supporting analytics workflows, or contributing to technology-driven initiatives across departments. In addition to project work, you participate in mentoring, coaching, and feedback sessions that support skill development. Exposure to cross-functional areas like actuarial science, risk management, and finance provides context for how data and AI are applied in industry settings.
5. Henkel IT & Data Analytics Intern
Location: Stamford, CT
Stipend: $22 – $27 per hour
Acceptance rate/cohort size: Highly competitive; ~200+ interns
Dates: Summer: May 27– Early August; Summer-Fall (Co-op): May 27– November/December; Spring: January – May (typically 4–6 months)
Application Deadline: Summer: Rolling until filled till March 10; Spring: October/November
Eligibility: Rising juniors and seniors pursuing a Computer Science, IT, Statistics, Mathematics, or Business-related degrees
In this AI internship, you work with large-scale datasets within an enterprise IT environment, supporting analytics and reporting systems. Your tasks include building and maintaining data pipelines using tools like Azure and Databricks, along with writing Python scripts for data transformation and automation. You also contribute to dashboard development by updating and refining Power BI visualizations for business stakeholders. The role involves troubleshooting system issues and collaborating with cross-functional teams to improve existing data solutions. Documentation and knowledge sharing are part of the workflow, reinforcing structured data practices.
6. Connecticut Innovations Venture Team Internship I AI/Q Technology Fund
Location: New Haven, CT
Stipend: $20 – $30 per hour
Acceptance rate/cohort size: Highly competitive; typically 1–3 interns per specific fund
Dates: Typically in the summer; early June – mid-August (10–12 weeks)
Application Deadline: May 10
Eligibility: Students enrolled in a bachelor's program in finance, business administration, computer science, engineering, or a related field
This AI internship for undergraduates in Connecticut takes a venture capital approach, where you analyze companies working in artificial intelligence and quantum technologies. You engage in market research, competitive analysis, and portfolio tracking to understand trends across emerging tech sectors. The role includes supporting due diligence by reviewing business models, assessing company performance, and contributing to investment evaluations. You also build financial models and prepare materials for internal decision-making processes. You’ll get exposure to startup ecosystems through interactions with founders and participation in pitch sessions.
7. Spectrum Summer Intern: Associate Data Scientist
Location: Stamford, CT
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Highly selective; typically 200+ interns across all departments company-wide
Dates: May 27 – July 31
Application Deadline: Late November; rolling applications may continue through March if spots remain open
Eligibility: Rising seniors with a minimum 3.0 GPA pursuing a STEM-related bachelor's degree; authorized to work in the U.S. without future sponsorship
This AI internship focuses on foundational data science tasks within a structured team environment. You assist with building and evaluating predictive models, including data preparation, feature engineering, and basic statistical analysis. The role also involves working with datasets from multiple sources to identify patterns that inform model improvements. Part of your time will be dedicated to professional development, including workshops, cross-team projects, and presentations. You also gain experience in communicating analytical results through visualizations and summaries tailored to business contexts.
8. RTX Corporation Machine Learning for Fluid Dynamics Summer Internship
Location: East Hartford, CT
Stipend: $37,000 - $82,000 (prorated for the internship duration)
Acceptance rate/cohort size: Highly selective; 10–20 interns per research area
Dates: 10–12 weeks in the Summer between June – August
Application Deadline: Rolling; most competitive technical roles close by February; however, some listings remain active until May 31, depending on candidate flow
Eligibility: U.S. undergraduates pursuing a Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Computer Science, or Applied Mathematics; proficiency in Python and ML frameworks (PyTorch or TensorFlow); foundational knowledge of Fluid Dynamics or CFD; minimum GPA of 3.0 – 3.2
This internship is designed to integrate advanced AI techniques with computational fluid dynamics (CFD) to solve complex aerospace and defense challenges. It places you in a research-focused environment where machine learning is applied to computational fluid dynamics problems. You work with aero-thermal and high-speed flow models, combining data-driven techniques with domain-specific physics knowledge. You engage with experts in aerodynamics, aerothermochemistry, and measurement systems to refine modeling approaches. The experience focuses on analytical problem-solving, particularly in developing and testing new modeling capabilities. You also practice communicating technical findings through presentations and written documentation.
9. Arvinas Computational Chemistry & Artificial Intelligence Summer Intern
Location: New Haven, CT
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Highly selective; approximately 10–20 students company-wide
Dates: 10–12 weeks, typically beginning in late May or early June and concluding in August
Application Deadline: Rolling / Early spring
Eligibility: Students majoring in Computational Chemistry/Biology, Chemistry, Biology, or Computer Science majors; proficiency in Python (NumPy, Scikit-learn) and exposure to ML frameworks (PyTorch, TensorFlow, or Keras) is required
This chemistry and AI internship focuses on applying machine learning and computational methods to molecular and protein modeling tasks. You work with datasets derived from experimental structures, preparing and analyzing them to evaluate different modeling approaches. The role involves configuring and benchmarking workflows related to ternary complex prediction, combining computational chemistry with AI techniques. Collaboration with a specialized research team provides insight into how these tools are applied in drug discovery contexts. You also present your findings through internal talks or posters, reinforcing technical communication skills.
10. Milliman Internships
Location: Windsor, CT
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Highly selective; typically 5–15 interns per year across all CT departments
Dates: Spring: Mid-January to mid-June; Summer: June to August (10–12 weeks); Fall/Winter: Occasionally offered based on practice need
Application Deadline: Spring Cohort: Early November; Summer Cohort: Rolling; peak deadlines are January 17 and April 10; IT-specific roles may stay open until July
Eligibility: Undergraduates pursuing degrees in Actuarial Science, Math, Economics, or CS
Milliman offers AI-related internships across multiple roles, including data science, analytics, and quantitative modeling. Depending on your placement, you may work with large datasets, build models, or support analytical workflows in areas such as healthcare, insurance, or risk management. The work often involves applying statistical techniques, developing data-driven solutions, and interpreting results for client-focused projects. You also present your work at the end of the internship, summarizing your analysis and findings. As an AI internship pathway for undergraduates, it provides a broad view of how data and modeling are used across industries.
11. Information Services Group (ISG) – AI Engineering Summer Intern
Location: Stamford, CT
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Selective; small cohort sizes
Dates: 6–8 weeks (Summer; typically June – August)
Application Deadline: Rolling basis
Eligibility: Undergraduate students in technical disciplines (CS, Data Science, Engineering); requires proficiency in Python, experience with LLM APIs (OpenAI, Anthropic), and prior AI project experience
In this internship, you will actively develop real solutions, such as AI agents that automate consulting workflows, LLM-powered benchmarking assistants, and robust data engineering pipelines. You will collaborate directly with ISG leadership to translate defined problem statements into production-grade analytics capabilities and internal automation tools. Along the way, you will sharpen highly demanded technical skills, including advanced Python programming, prompt engineering with major LLM APIs, and deploying models within Azure cloud environments. Ultimately, you will gain hands-on experience handling complex structured and unstructured datasets while utilizing modern development frameworks to solve genuine business challenges.
12. Boehringer Ingelheim – Clinical Data Science Co-Op / Intern
Location: Ridgefield, CT
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Highly competitive; 30–100+ total interns/co-ops
Dates: Summer Internship: Late May/Early June – August (approx. 10–12 weeks); Fall Co-Op: Late August/September – December/January (approx. 6 months); Spring Co-Op: January – June (approx. 6 months)
Application Deadline: Summer: April 10; Fall: late June/early July; Spring: late October/early November
Eligibility: Currently enrolled Undergraduate student in good academic standing; minimum cumulative GPA of 3.0 on a 4.0 scale; completion of at least 12 credit hours in a related major (e.g., Statistics, Data Science, CS, or Math); 18+ years of age and legally authorized to work in the U.S. without restriction
In the Boehringer Ingelheim Clinical Data Science Co-Op, you dive directly into the intersection of biostatistics and pharmaceutical research. Throughout the program, you explore complex topics like clinical trial analysis, big data processing, and regulatory documentation. Your daily activities will include developing and validating R or Python programs for clinical datasets, designing interactive web-based visualization apps using RShiny, and collaborating closely with senior scientists before presenting your final research. Ultimately, you walk away with highly sought-after skills, including a mastery of Good Programming Practices, CDISC clinical data standards, and advanced statistical modeling.
13. The Cigna Group Summer Internship Program
Location: Bloomfield, CT
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Highly selective; typically 100+ interns company-wide
Dates: Mid-May to early August (10–12 weeks)
Application Deadline: November
Eligibility: Current undergraduate students (primarily rising juniors and seniors); minimum 3.3 GPA; majoring in CS, IT, Data Analytics, Actuarial Science, Finance, Marketing, or Operations; authorized to work in the U.S. without current or future sponsorship
This AI internship for undergraduates in Connecticut spans multiple functional areas, allowing you to work on projects related to data analysis, technology, or business operations, depending on your placement. Your day-to-day tasks may involve handling datasets, supporting analytical workflows, or contributing to systems used across healthcare and insurance contexts. Alongside project work, the program includes workshops and speaker sessions that focus on professional and technical development. You also participate in structured activities that provide exposure to different roles within the organization.
14. Travelers Insurance Business Insights & Analytics Leadership Development Program (BI&A LDP) Geospatial Intern
Location: Hartford, CT
Stipend: $27 – $29 per hour
Acceptance rate/cohort size: Highly selective; ~4 per location
Dates: June – August (10–12 weeks; standard summer cohort)
Application Deadline: Rolling Basis
Eligibility: Undergraduates pursuing a degree in Geographic Information Systems (GIS) or Computer Science with a minimum cumulative 3.0 GPA and proficiency with SQL and GIS; authorized to work in the U.S.
The Travelers Business Insights & Analytics Leadership Development Program (BI&A LDP) Geospatial Internship is a premier pipeline into the company’s full-time leadership track. In this AI internship, you analyze spatial and geospatial data to support business decision-making processes. Your work includes creating and interpreting geographic datasets, applying statistical methods, and identifying patterns related to risk and environmental factors. The role introduces tools and concepts from geographic information systems, remote sensing, and location intelligence. You collaborate with peers to develop and present solutions to business-focused analytics problems. Training resources and mentorship support your understanding of both technical and domain-specific concepts.
15. Synchrony Financial – Business Leadership Program (BLP) Internship: Data Analytics Track
Location: Stamford, CT
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Highly selective; approximately 80–100+ interns across all 10 functional tracks nationwide
Dates: June – August (10 consecutive weeks); includes a 3-day "Sync-Up" orientation in Week 1
Application Deadline: Typically, late Fall (October/November)
Eligibility: Rising seniors pursuing a Bachelor’s in a quantitative field (e.g., Statistics, Math, Engineering, CS) with a 3.0+ GPA and legal U.S. work authorization
The Synchrony Financial Business Leadership Program (BLP) Data Analytics internship is a 10-week summer role where you tackle real-world business problems. You will explore core corporate topics like marketing, risk management, credit, and operations. During your internship, you will actively advise on new retail store locations, develop strategies to drive partner sales, assess the health of client portfolios, and analyze public sentiment to improve customer experiences. A unique feature of the BLP is its cross-functional focus, offering immersive networking events like "Sync-Up" and direct engagement with senior executives.
Frequently Asked Questions
1. Several of these roles require specific technical tools like PyTorch, TensorFlow, or LLM APIs. How important is it to already know these before applying?
For the most technically intensive roles, having some familiarity matters. RTX Corporation explicitly requires proficiency in Python and ML frameworks like PyTorch or TensorFlow, alongside foundational fluid dynamics knowledge, given the role's focus on aerospace research. Information Services Group similarly requires prior AI project experience and exposure to LLM APIs from OpenAI or Anthropic. If you don't yet have this background, roles like Pitney Bowes (which lists Python proficiency and cloud exposure as requirements but frames the work as more applied and structured) or Yale's Computer Science Research Internship (which is more open-ended and faculty-matched) may be more accessible starting points to build toward the more specialized industry roles.
2. The pay range across this list varies enormously, from undisclosed hourly rates to RTX's $37,000 to $82,000 prorated salary. How should I think about that?
RTX Corporation's range reflects a prorated annual salary structure rather than a simple hourly wage, and it's listed alongside some of the most technically demanding eligibility requirements on this list, including CFD and fluid dynamics knowledge specific to aerospace engineering. Other strongly disclosed rates include Travelers ($27 to $29 per hour), Henkel ($22 to $27 per hour), and Connecticut Innovations ($20 to $30 per hour). Many large companies, including The Hartford, Cigna, Spectrum, and Synchrony, list pay as hourly without disclosing a number, which is standard for large corporate internship programs and typically varies by year and specific track.
3. I'm interested in AI but my major is finance or business, not computer science. Are there options here for me?
Yes, several roles are designed for a blend of quantitative and business backgrounds rather than pure computer science. The Connecticut Innovations Venture Team Internship is open to finance, business administration, computer science, or engineering majors and focuses on evaluating AI companies from an investment perspective rather than building models directly. Travelers' Geospatial Internship and Synchrony's Business Leadership Program both apply analytics and data work to core business decisions like risk assessment and retail strategy. Milliman also accepts students from actuarial science, math, and economics backgrounds, applying AI and data techniques to insurance and healthcare contexts rather than requiring a computer science degree specifically.
Key Takeaways
This list covers 15 AI internships for undergraduates in Connecticut, spanning insurance and healthcare analytics at companies like The Hartford, Cigna, and Travelers, alongside more technically specialized roles in aerospace machine learning at RTX, computational chemistry at Arvinas, and venture capital analysis at Connecticut Innovations. The most demanding technical prerequisites appear in research and engineering-focused roles, with RTX requiring CFD knowledge and ML framework proficiency, and Information Services Group requiring prior experience with LLM APIs, while business and finance-adjacent roles like Connecticut Innovations and Synchrony's BLP offer accessible entry points for students without a pure computer science background. For students seeking a fully remote alternative, Ladder Internships is the only virtual option on this list, applying AI and data skills to real startup projects without the strict technical prerequisites common across the more specialized industry placements.