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Computer Science Psychology Internship Jobs in Connecticut

Freddie Mac

$15.25 - $20.50/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

Freddie Mac

$15.25 - $20.75/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

Freddie Mac

$15.25 - $20.75/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

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All JobsComputer Science Psychology JobsComputer Science Psychology Internship JobsComputer Science Psychology Internship Jobs in Connecticut

Computer Science Psychology Internship information

What is a computer science psychology internship?

A Computer Science Psychology Internship is a practical work experience opportunity that combines elements of computer science and psychology. Interns in this field typically work on projects involving human-computer interaction, user experience research, cognitive modeling, or behavioral data analysis. The goal is to apply psychological principles to technology design or to use computational tools to study psychological phenomena. This type of internship is ideal for students interested in the intersection of technology and human behavior. It helps participants gain hands-on experience, develop interdisciplinary skills, and explore career options in both fields.

What are the key skills and qualifications needed to thrive as a computer science psychology intern?

To thrive as a Computer Science Psychology Intern, you typically need coursework or a degree in computer science, psychology, or cognitive science, along with strong analytical and programming skills. Familiarity with statistical analysis software (such as SPSS or R), programming languages (like Python), and data collection platforms is highly valuable. Excellent communication, curiosity, and teamwork help you collaborate on research projects and interpret interdisciplinary data. These skills enable interns to effectively contribute to research at the intersection of technology and human behavior, driving meaningful insights and innovation.

How do computer science psychology interns typically collaborate with multidisciplinary teams during their internship?

Computer Science Psychology interns often work closely with professionals from diverse fields, such as software developers, UX/UI designers, data analysts, and behavioral scientists. Collaboration typically involves contributing to research projects, assisting in the design and testing of digital tools or experiments, and analyzing user interaction data to draw insights about human behavior. Interns are encouraged to participate in team meetings, present findings, and integrate feedback, which helps develop both technical and interpersonal skills. This collaborative environment provides valuable exposure to real-world applications of both computer science and psychology, preparing interns for future roles in interdisciplinary teams.

What is the difference between Computer Science Psychology Internship vs Data Analyst Internship?

AspectComputer Science Psychology InternshipData Analyst Internship
Required CredentialsRelevant coursework in psychology and computer science, possibly some programming skillsStatistics, mathematics, and data analysis skills, often with programming knowledge
Work EnvironmentResearch labs, tech companies, healthcare settingsBusiness, finance, tech firms, or healthcare organizations
Employer & Industry UsageUniversities, research institutions, tech companies focusing on human-computer interactionCorporations, consulting firms, government agencies analyzing data

The Computer Science Psychology Internship focuses on applying psychology principles within tech environments, often involving research and human-computer interaction. In contrast, a Data Analyst Internship emphasizes analyzing data to inform business decisions. Both roles require analytical skills and some programming knowledge but differ in industry focus and daily tasks.

What are popular job titles related to Computer Science Psychology Internship jobs in Connecticut?

For Computer Science Psychology Internship jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Computer Science Psychology Internship jobs in Connecticut look for?

The top searched job categories for Computer Science Psychology Internship jobs in Connecticut are:

What cities in Connecticut are hiring for Computer Science Psychology Internship jobs?

Cities in Connecticut with the most Computer Science Psychology Internship job openings:

Computer Science Psychology Internship jobs near you

Data Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Re-posted 3 days ago

Job description

Application Deadline: September 1, 11:59 pm EST
Program Summary - Data Science & Technology Internship
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.
Responsibilities:
  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:
  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.

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