ZipRecruiter

Log In

1

Internship Economics Computer Science Jobs (NOW HIRING)

Tri-C

Intern, Computer Science

Parma, OH · On-site

Internship Responsibilities and Activities: The primary goal of this internship is to review and update the Help isHere (HIH) app. Responsibilities include: Review and update the HIH app. * Develop a ...

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 ...

previous pagenext page

Showing results 21-40

All JobsInternship JobsTechnology JobsInternship Economics Computer Science Jobs

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.

More about Internship Economics Computer Science jobs

What cities are hiring for Internship Economics Computer Science jobs?

Cities with the most Internship Economics Computer Science job openings:

What states have the most Internship Economics Computer Science jobs?

States with the most job openings for Internship Economics Computer Science jobs include:

What job categories do people searching Internship Economics Computer Science jobs look for?

The top searched job categories for Internship Economics Computer Science jobs are:

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.

Applied Science: PhD Microsoft AI Internship Opportunities

Redmond, WA • On-site

Microsoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees
Learn more about Microsoftexternal

$8.9K - $14K/mo

Full-time, Internship

Re-posted 15 hours ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

Job description

Overview
Bring your passion for innovation and research to a team at the forefront of artificial intelligence and machine learning. If you're eager to make significant contributions across user engagement, intelligent experiences, and real product scenarios, this opportunity within Microsoft AI Content, Commerce, & Monetization (CCM), Search Fundamentals, Search Experiences, or Search Places will excite you.
As an Applied Scientist PhD Intern, you will apply your expertise in areas such as supervised and unsupervised learning, deep learning (especially transformers and sequence modeling), reinforcement learning for optimizing user outcomes, and advanced data science techniques. You'll translate complex business challenges-spanning search, personalization, natural language processing, computer vision, and recommendation systems-into practical, impactful solutions using Azure and other cloud-based technologies. Your experience with statistical analysis, hypothesis testing, large datasets, and deploying robust data pipelines will be valued as you drive research into production.
This role allows you to shape the future of Copilot and intelligent content, influencing Microsoft's direction as you directly support our overarching mission and vision.
At Microsoft, our mission to empower every person and every organization on the planet to achieve more guides how we partner with customers to deliver trusted, impactful solutions. With a growth-mindset culture, we innovate responsibly and measure success by shared progress, people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what's next for everyone.
Responsibilities
  • Analyze and improve advanced machine learning algorithms and systems at scale, optimizing performance across large, complex datasets.
  • Translate product scenarios and user needs into applied ML problems; design and execute experiments to validate, iterate, and optimize solutions.
  • Develop and scale models for search, ranking, recommendations, retrieval, and language understanding using modern AI techniques (e.g., deep learning, reinforcement learning, probabilistic methods).
  • Prepare, clean, and curate high-quality datasets-identifying data quality issues, defining inclusion criteria, and enabling robust feature development.
  • Build and enhance data and ML pipelines (data collection, preparation, modeling), applying statistical methods to validate assumptions and evaluate model performance.
  • Collaborate cross-functionally with scientists, engineers, and product stakeholders to iterate on ideas and deliver real-world, product-integrated solutions.
  • Communicate technical insights and experimental results clearly, while continuously incorporating emerging research, tools, and industry trends to improve solution quality and efficiency.

Qualifications
Required Qualifications
  • Currently pursuing a Doctorate Degree in Statistics, Econometrics, Computer Science, Artificial Intelligence, Electrical or Computer Engineering, or related field.
  • Must have at least one additional quarter/semester of school remaining following the completion of the internship.
  • Candidate must be enrolled in a full time PhD program in area relevant for the role during the academic term immediately before their internship.

Preferred Qualifications
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
    • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
    • Equivalent experience.
  • Explore product challenges using state of the art solutions.
  • Research publications, coursework, or project experience relevant to search, language models, recommender systems, geospatial or location intelligence, or content and commerce systems.
  • Experience running controlled experiments and interpreting offline and online evaluation metrics.
  • Familiarity with large-scale distributed systems or productionizing applied science solutions.
  • Passion for building AI experiences that improve relevance, discovery, personalization, and end-user satisfaction.

The base pay range for this internship is USD $6,810.00 - $13,480.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,920.00 - $14,610.00 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-intern-pay
Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar
(September - April)
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Microsoft logo

About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

FacebookTwitter

View All Microsoft Jobs

Apply