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Internship Economics Computer Science Jobs (NOW HIRING)

Los Angeles Community College District

CA · On-site

Serving more than 20,000 students from diverse socio-economic backgrounds, LAVC provides strong ... The Department of Computer Science and Information Systems at LAVC consists of two full-time ...

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Internship Economics Computer Science information

What is an internship economics computer science?

Internship Economics Computer Science positions are temporary roles designed for students or recent graduates interested in the intersection of computer science and economics. These internships typically involve tasks such as data analysis, economic modeling, programming, and research to solve real-world economic problems using computational methods. Interns gain hands-on experience working with large datasets, developing algorithms, and applying economic theory to technology-driven projects. These positions are often found in research institutions, tech companies, financial firms, and government agencies, providing valuable exposure to both fields.

What types of projects can I expect to work on during an economics and computer science internship?

As an intern combining economics and computer science, you can expect to work on projects involving data analysis, algorithm development, and economic modeling. Typical tasks may include using programming languages like Python or R to analyze large datasets, building predictive models for financial or market trends, and collaborating with economists and software engineers to develop data-driven solutions. These projects not only enhance your technical skills but also provide valuable exposure to real-world economic problem-solving within a collaborative, interdisciplinary team environment.

What are the key skills and qualifications needed to thrive as an economics and computer science intern, and why are they important?

To thrive as an Economics and Computer Science Intern, you need foundational knowledge in economic theory, data analysis, and programming—often supported by coursework in economics, statistics, and computer science. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as experience using statistical software, is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills will help you stand out in this role. These competencies are crucial for interpreting complex data, contributing valuable insights, and collaborating efficiently with multidisciplinary teams.

What is the difference between Internship Economics Computer Science vs Internship Data Analysis?

AspectInternship Economics Computer ScienceInternship Data Analysis
Required SkillsEconomics principles, programming, data modelingStatistical analysis, programming, data visualization
Work EnvironmentResearch, software development, economic modelingData processing, reporting, business insights
Industry UsageFinance, tech, consultingMarketing, finance, tech

Internship Economics Computer Science focuses on applying economic theories with programming skills to analyze markets and develop models. In contrast, Internship Data Analysis emphasizes statistical techniques and data visualization to interpret large datasets. Both roles often overlap in tech and finance sectors, but their core focus and skill sets differ slightly.

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Internship Economics Computer Science jobs near you
Infographic showing various Internship Economics Computer Science job openings in the United States as of September 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution.

Product Data Decision Science Intern

Van Wert, OH

centralins
See more jobs at centralinsexternal

Internship

Posted 15 days ago

Job description

At Central, we believe an internship should be more than completing busy work. We invest in our interns to give them the opportunities needed to grow, nurture and develop their whole self. Why? Because we believe excellence is gained from experience.

Central’s internship program is customized to each internship placement. The program provides members with dedicated time to gain first-hand experience while solving unique business problems. It’s strategically designed to provide diverse exposures throughout the organization, to allow you to learn from our experts and collaborate with teams that do incredible work.

Each internship will be different; however, at its core, the program consists of the following opportunities:

  • Immersive experiences in challenging and meaningful work with built-in continuous learning opportunities
  • Direct impact on work that matters and opportunities to affect successful outcomes and drive corporate objectives
  • Gain the skills and knowledge to become a future trailblazer
  • Build a lasting professional network through events and activities

Data Scientist Internship

  • Apply statistical and analytics techniques to charter a project from start to finish
  • Generate and validate SQL queries to pull together disparate data for hypothesis testing
  • Perform exploratory data analysis to unlock patterns and promote discovery
  • Move from EDA to modeling with the capability to generate predictions
  • Leverage best practices in data visualization to communicate findings and distribute learnings throughout the organization through data story-telling

Ready to dive in? Ideal candidates for this program are:  

  • Naturally curious and ask a lot of questions
  • Interest in learning the ins-and-outs of the insurance industry
  • Capable of coding in either R or Python
  • Knowledge and experience building standard predictive modeling techniques including: linear and non-linear models, regression analyses, machine learning methods (decision trees, XG Boosted trees, neural networks, cluster analysis (KNN), feature selection, etc.), forecasting, time series analysis, survival analysis, and causal impact analyses
  • Capable of writing SQL queries to generate datasets
  • M.S. Students in Statistics, Mathematics, Economics, Computer Science, Engineering or a similarly related field desired

 Next Steps

  • Applications Accepted: Through January 2027, or until all positions are filled
  • Interviews & Offers: Conducted and extended on a rolling basis
  • Internship Dates: May-August 2027, aligning with summer break

Candidates are encouraged to apply early. The job posting will close once all internship positions have been filled.

Apply