Data Science Intern Jobs in USA with Visa Sponsorship
Data science intern roles are among the most actively sponsored positions in tech, with employers filing H-1B and OPT-extension paperwork even for internship-to-full-time pipelines. Most require a graduate degree in progress and a STEM-designated program to qualify for the 24-month OPT extension. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsABOUT OUR INTERNSHIP PROGRAM
Nasdaq’s Internship Program is a 10-week summer experience designed to give students real exposure to how global markets and technology come together. Our interns work on meaningful projects alongside Nasdaq teams, gaining hands-on skills that make an impact on the business.
We believe the best way to learn is by doing — that’s why you’ll be paired with a mentor, connected with senior leaders, and included in professional development sessions. You’ll also join a diverse global intern community, sharing experiences and building networks that last beyond the program.
Our goal is to provide a supportive, engaging, and fun environment where your work feels valued and your growth comes first. Check out our Nasdaq Internship Program page to learn more and hear directly from past interns about their journeys.
ROLE
We are seeking a motivated and curious Data Science Summer Intern to join our team and contribute to impactful, data-driven projects. In this role, you will work alongside an experienced Research & Development team to analyze large datasets, build predictive models, and develop actionable insights using tools such as Python, R, or SQL. This is an excellent opportunity for a student pursuing a degree in Data Science, Statistics, Computer Science, or a related field to gain hands-on experience in a fast-paced, collaborative environment.
At Nasdaq, you’ll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you’ll support [team/business area] and gain hands-on experience with [specific products/projects/clients].
You don’t need to know everything on day one — we’ll help you build the skills, confidence, and network to grow your career.
WHAT YOU’LL DO
- Support the R&D team with day-to-day analytical tasks and contribute to ongoing modeling and research initiatives
- Learn how to build, validate, and deploy machine learning models using industry-standard tools such as Python, SQL, and cloud-based platforms.
- Collaborate with teammates across Product, Sales and Data Operations to deliver end-to-end data solutions.
- Bring your ideas and curiosity to real-world problem-solving by exploring datasets, identifying trends, and presenting findings to stakeholders
- Develop your technical and professional skills through hands-on project work, code reviews, and mentorship from experienced data scientists.
WHAT YOU’LL BRING
- Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field.
- Foundational knowledge of programming languages such as SQL, Python or R, with exposure to data manipulation, Large Language Models and exploratory data analysis
- Eagerness to learn, ask questions, and apply academic knowledge to real-world data challenges in a professional setting
- Ability to think analytically and communicate findings clearly to both technical and non-technical audiences.
- Curiosity about machine learning, artificial intelligence, and the role of data in driving business decisions.
NICE-TO-HAVE
- Project experience related to data science, machine learning, or statistical analysis, such as academic research, data competitions, or personal data projects.
- Involvement in student organizations, hackathons, volunteering, or leadership roles that demonstrate initiative, teamwork, and a passion for data and technology
- Familiarity with specific tools or technologies such as PowerBI, Snowflake, Databricks, Fabric, AWS
LOCATION
This position will be located in Atlanta and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
ABOUT OUR INTERNSHIP PROGRAM
Nasdaq’s Internship Program is a 10-week summer experience designed to give students real exposure to how global markets and technology come together. Our interns work on meaningful projects alongside Nasdaq teams, gaining hands-on skills that make an impact on the business.
We believe the best way to learn is by doing — that’s why you’ll be paired with a mentor, connected with senior leaders, and included in professional development sessions. You’ll also join a diverse global intern community, sharing experiences and building networks that last beyond the program.
Our goal is to provide a supportive, engaging, and fun environment where your work feels valued and your growth comes first. Check out our Nasdaq Internship Program page to learn more and hear directly from past interns about their journeys.
ROLE
We are seeking a motivated and curious Data Science Summer Intern to join our team and contribute to impactful, data-driven projects. In this role, you will work alongside an experienced Research & Development team to analyze large datasets, build predictive models, and develop actionable insights using tools such as Python, R, or SQL. This is an excellent opportunity for a student pursuing a degree in Data Science, Statistics, Computer Science, or a related field to gain hands-on experience in a fast-paced, collaborative environment.
At Nasdaq, you’ll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you’ll support [team/business area] and gain hands-on experience with [specific products/projects/clients].
You don’t need to know everything on day one — we’ll help you build the skills, confidence, and network to grow your career.
WHAT YOU’LL DO
- Support the R&D team with day-to-day analytical tasks and contribute to ongoing modeling and research initiatives
- Learn how to build, validate, and deploy machine learning models using industry-standard tools such as Python, SQL, and cloud-based platforms.
- Collaborate with teammates across Product, Sales and Data Operations to deliver end-to-end data solutions.
- Bring your ideas and curiosity to real-world problem-solving by exploring datasets, identifying trends, and presenting findings to stakeholders
- Develop your technical and professional skills through hands-on project work, code reviews, and mentorship from experienced data scientists.
WHAT YOU’LL BRING
- Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field.
- Foundational knowledge of programming languages such as SQL, Python or R, with exposure to data manipulation, Large Language Models and exploratory data analysis
- Eagerness to learn, ask questions, and apply academic knowledge to real-world data challenges in a professional setting
- Ability to think analytically and communicate findings clearly to both technical and non-technical audiences.
- Curiosity about machine learning, artificial intelligence, and the role of data in driving business decisions.
NICE-TO-HAVE
- Project experience related to data science, machine learning, or statistical analysis, such as academic research, data competitions, or personal data projects.
- Involvement in student organizations, hackathons, volunteering, or leadership roles that demonstrate initiative, teamwork, and a passion for data and technology
- Familiarity with specific tools or technologies such as PowerBI, Snowflake, Databricks, Fabric, AWS
LOCATION
This position will be located in Atlanta and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
How to Get Visa Sponsorship as a Data Science Intern
Target STEM-designated programs
A STEM-designated degree, computer science, statistics, applied mathematics, or data engineering, is the baseline for the 24-month OPT extension. Without it, your work authorization window drops to 12 months, which limits your sponsorship timeline significantly.
Focus on companies with H-1B filing histories
Large tech employers and research-driven firms with established international hiring pipelines are far more likely to sponsor interns into full-time H-1B roles. Firms that have filed H-1B petitions historically are your strongest targets for intern-to-sponsor conversion.
Align your degree field to the job description
H-1B specialty occupation rules require a direct connection between your degree field and the role. For data science, a degree in statistics, computer science, or a quantitative discipline is far stronger than a general business or unrelated STEM degree.
Use Migrate Mate to find sponsors efficiently
Migrate Mate surfaces data science intern roles specifically posted by employers open to visa sponsorship. Filtering by sponsorship willingness upfront saves time and ensures you are applying to companies that have already signaled readiness to support international candidates.
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Get Access To All JobsFrequently Asked Questions
Can a data science intern role lead to H-1B sponsorship?
Yes, but it depends on the employer. Many large tech and finance companies use data science internships as a structured pipeline to full-time roles, and will initiate H-1B sponsorship before your OPT expires. Smaller employers may be willing but lack the legal infrastructure. The clearest signal is whether the company has filed H-1B petitions in prior years.
What visa status do most international data science interns use?
The majority work on F-1 CPT, which allows off-campus employment during the degree program. After graduation, they transition to OPT, and STEM-designated graduates can extend that to three years total. Some interns on J-1 exchange programs also fill data science roles, though J-1 comes with a two-year home-country residency requirement that can complicate H-1B sponsorship later.
Does my degree field matter for data science intern sponsorship?
It matters considerably. H-1B petitions require the role to qualify as a specialty occupation, meaning there must be a direct connection between the job duties and a specific academic discipline. For data science, degrees in statistics, computer science, mathematics, or data engineering are the strongest fit. A degree in a loosely related field increases the risk of an H-1B RFE or denial at the specialty occupation stage.
Are data science internships STEM-eligible for the OPT extension?
The OPT extension applies to the student, not the job. If your degree program is STEM-designated by DHS, you qualify for the 24-month extension regardless of your internship title. Data science roles almost always count as a STEM-qualifying job for the extension reporting requirements, but confirm your specific program's STEM designation with your DSO before assuming eligibility.
Where can I find data science intern roles that offer visa sponsorship?
Migrate Mate lists data science intern positions from employers who are open to sponsoring international candidates. Searching there filters out roles where sponsorship is unlikely, which is a meaningful time-saver when you are working against OPT or CPT deadlines. General job boards surface thousands of postings without any sponsorship filter, making it harder to identify the employers actually worth pursuing.
What is the prevailing wage requirement for sponsored Data Science Intern jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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