1

Data Science Summer Internship Jobs in Seattle, WA

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

You must have strong analytical skills, the ability to dive deep into unfamiliar data, be savvy ... week summer internship from May through September - Currently enrolled in a bachelor's or dual ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

next page

Showing results 1-20

Data Science Summer Internship information

See Seattle, WA salary details

$13

$25

$47

How much do data science summer internship jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data science summer internship in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What is a data science summer internship?

A Data Science Summer Internship is a temporary, typically 8-12 week position offered during the summer to students or recent graduates interested in gaining hands-on experience in data science. Interns work on real-world projects involving data collection, cleaning, analysis, and visualization, often using tools like Python, R, and SQL. These internships provide valuable exposure to industry practices, mentorship from experienced data scientists, and networking opportunities that can help launch a career in data science.

What types of projects and collaboration can I expect during a data science summer internship?

As a Data Science Summer Intern, you'll typically work on real-world projects involving data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. Interns often collaborate with cross-functional teams such as engineering, product management, and business analytics to understand project requirements and deliver actionable insights. You'll likely participate in team meetings, present your findings, and receive constructive feedback, offering a valuable opportunity to learn industry best practices and improve your technical and communication skills.

What are the key skills and qualifications needed to thrive as a data science summer intern, and why are they important?

To thrive as a Data Science Summer Intern, you need a solid grounding in statistics, programming (often Python or R), and data analysis, typically supported by coursework in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization libraries, as well as exposure to machine learning frameworks, is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set outstanding interns apart. These skills are crucial for translating complex data into actionable insights and collaborating successfully within multidisciplinary teams.

What is the difference between Data Science Summer Internship vs Data Analyst Summer Internship?

AspectData Science Summer InternshipData Analyst Summer Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentHands-on projects involving machine learning, programming, and data modelingData cleaning, reporting, and visualization tasks
Employer & Industry UsageTech companies, startups, finance, healthcareBusiness, marketing, finance, consulting

While both internships involve working with data, Data Science Summer Internships focus on building predictive models and advanced analytics, whereas Data Analyst Summer Internships emphasize data interpretation, reporting, and visualization. Candidates should choose based on their skills and career goals in data-related roles.

What cities near Seattle, WA are hiring for Data Science Summer Internship jobs?

Cities near Seattle, WA with the most Data Science Summer Internship job openings:

Infographic showing various Data Science Summer Internship job openings in Seattle, WA as of August 2026, with employment types broken down into 24% Internship, 58% Full Time, 6% Part Time, 6% Contract, and 6% Summer. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Data Science: Internship Opportunities - Redmond

Microsoft

Redmond, WA • On-site

$7.4K - $12K/mo

Full-time, Internship

Posted 3 days ago

New


Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

80th of 247 rated software companies


Job description

Overview
Come build community, explore your passions and do your best work at Microsoft with thousands of university interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.
As a Data Scientist Intern at Microsoft, you will use machine learning, statistics, experiments, and/or AI, LLM, SLM and agents, and more to build and improve great products while making business impact. You will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate and empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Please note this application is only for internships based in our Redmond, Washington office. For internships in other offices in the United States, please see our Careers site careers site
Responsibilities
  • Formulate approaches to solve problems using well defined algorithms and data sources.
  • Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
  • Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data.
  • Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
  • Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
  • Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.

Qualifications
Required Qualifications:
  • Currently pursuing a Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, 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 bachelor's, masters, MBA, or PhD program in area relevant for the role during the academic term immediately before their internship.

Preferred Qualifications:
  • Currently pursuing a Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
  • Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc.
  • Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#.
  • Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS.
  • Some experience and or project course work with product and service telemetry systems.
  • Some A/B Testing or experimentation (this can be from conducting real life science experiments, hypothesis testing in stats etc.) Not required but ideal.
  • Some experience or course work applying basic ML to a type of data and or used algorithms to conduct experiments on data.

The base pay range for this internship is USD $5,690.00 - $11,210.00 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 $7,410.00 - $12,250.00 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