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Data Science Fall Internship Jobs in Seattle, WA

Docugami

Data Science PhD Intern

Kirkland, WA

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 ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

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 ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

1 point system

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is required ... of non-internship professional software development experience building production services.

Amazon

Data Engineer II, Intl. Seller Services

Seattle, WA · On-site

$130K - $156K/yr

We are a team of Data Engineers working closely with Applied Scientists, Data Scientists, and ... non internship data engineering experience PREFERRED QUALIFICATIONS - Experience with AWS ...

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All JobsData Science Fall JobsData Science Fall Internship JobsData Science Fall Internship Jobs in Seattle, WA

Data Science Fall Internship information

See Seattle, WA salary details

$13

$25

$47

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

As of Jul 26, 2026, the average hourly pay for data science fall 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 types of projects can I expect to work on during a Data Science Fall Internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

What are the key skills and qualifications needed to thrive as a Data Science Fall Intern, and why are they important?

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is a Data Science Fall Internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Seattle, WA? For Data Science Fall Internship jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Science Fall Internship jobs in Seattle, WA look for? The top searched job categories for Data Science Fall Internship jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Science Fall Internship jobs? Cities near Seattle, WA with the most Data Science Fall Internship job openings:
Data Science Fall Internship jobs near you
Infographic showing various Data Science Fall Internship job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.
Data Science PhD Intern

Data Science PhD Intern

Docugami

Kirkland, WA

Other

Posted 12 days ago

Job description

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems.

Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications.  The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses.

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 for exceptional researchers to work with our luminary science advisers on major scientific breakthroughs.  

You will love this job if:

  • You love solving really challenging problems
  • You seek opportunities to see your research deployed in practice to solve real world problems
  • You enjoy working at the very cutting edge of R&D
  • You want to experience an early stage startup

What you'll be responsible for:

  • Researching and proposing solutions to the different science problems in an evolving environment
  • Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs
  • Working with the engineering team who will be responsible for integrating and deploying your work in production
  • Conducting regular internal science reviews

What we look for in a candidate:

  • Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math 
  • Experience or strong interest in any of the following: natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines 
  • Programming skills and familiarity of modern ML frameworks
  • Strong problem-solving and time management skills
  • Strong communication skills and capacity to report and disseminate results
  • Passion for scientific and technical excellence 

Perks:

  • Competitive pay
  • Healthy snacks stipend
  • Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience
  • Vibrant and inclusive company culture with frequent team-building events

About Us:

Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact. 

Learn more at www.docugami.com

We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

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