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Internship Economics Computer Science Jobs (NOW HIRING)

Fabergent

Sr Data Scientist

San Ramon, CA · On-site

Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master's degree required). 1+ years experience in advanced analytics, model building, statistical modeling ...

IOTA Community Schools

Computer Science Teacher

Memphis, TN · On-site

$49K - $67K/yr

IOTA Community Schools seeks a High School Computer Science (CTE) teacher in the Memphis area for ... code or socio-economic status. Position Responsibilities: * Attend professional meetings ...

IOTA Community Schools

Computer Science Teacher

Memphis, TN · On-site

$49K - $67K/yr

IOTA Community Schools seeks a High School Computer Science (CTE) teacher in the Memphis area for ... code or socio-economic status. Position Responsibilities: * Attend professional meetings ...

IOTA Community Schools

Computer Science Teacher

Memphis, TN · On-site

$49K - $67K/yr

IOTA Community Schools seeks a High School Computer Science (CTE) teacher in the Memphis area for ... code or socio-economic status. Position Responsibilities: * Attend professional meetings ...

Microsoft AI

Applied Scientist II

Mountain View, CA · On-site

Required : • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive ...

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Internship Economics Computer Science information

Is $30 an hour good for an internship?

For an internship in economics or computer science, $30 an hour is considered above average, as most internships pay between $15 and $25 per hour. However, pay rates can vary based on location, company, and the level of skills required, such as programming or data analysis. It's also important to consider the experience gained and whether the internship offers other benefits like mentorship or networking opportunities.

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 are Internship Economics Computer Science positions?

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 jobs combine economics and computer science?

Jobs that combine economics and computer science include roles such as data analyst, financial analyst, quantitative analyst, economic consultant, and machine learning engineer. These positions often require skills in programming, statistical analysis, and economic modeling, and are common in finance, consulting, and technology sectors.

What internships can economics students do?

Economics students can pursue internships in areas such as financial analysis, economic research, data analysis, consulting, and policy analysis. These internships often involve skills in data modeling, statistical software, and economic theory, providing practical experience in finance, government agencies, or private firms.

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.

Which internship is best for a CS student?

The best internship for a CS student depends on their interests and career goals, but generally, internships at technology companies or research labs that offer hands-on experience with programming, software development, or data analysis are valuable. Look for roles that provide mentorship, exposure to relevant tools like Python or Java, and opportunities to work on real projects. These internships can enhance skills, build a professional network, and improve job prospects after graduation.

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.
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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 July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.
Sr Data Scientist

Sr Data Scientist

Fabergent

San Ramon, CA • On-site

Full-time

Posted 18 days ago

Job description

Job Description

Our client is looking for a senior data scientist for our first-of-its-kind sales analytics platform, which combines a proprietary, active-learning network with applications that are ready to use, data backed, and built on predictive analyses.

Our ideal candidate will have a strong computational background (complimented by Statistics/Math/Algorithmic expertise), a healthy portfolio of dealing with Big Data, a passion for empirical research, a solid understanding of machine learning algorithms, and will absolutely love finding meaning in multiple imperfect, mixed, varied, and inconsistent data sets.

You must be a team player who will thrive in a collaborative environment, and you must be driven to create innovative, world-class products and get them to market.

Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master's degree required).

1+ years experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods.

Ability to aggregate, normalize and process data by authoring predictive algorithms to synthesize and present actionable data insights.

Technical mastery in one or more of the following languages/tools to wrangle and understand data: Python (NumPy, SciPy, scikit-learn), R, Matlab, Spotfire, Tableau.

Experience with data manipulation and analysis using SQL, noSQL, Java, C, SAS, and machine learning suites such as Mahout, Weka, and RapidMiner.

Experience with cloud computing and Hadoop (MapReduce, PIG, HIVE)

Experience with third-party API integration.

Qualifications

Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master's degree required).

1+ years experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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