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Data Science Internships Jobs in Seattle, WA (NOW HIRING)

... 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 ...

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 ...

Associate Data Scientist

Seattle, WA · On-site

$67K - $68K/yr

Experience (internship or 0-2 years) in a data science, analytics, or quantitative modeling role (travel or revenue management industry experience a plus). * Technical proficiency in Python or R, and ...

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.

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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Data Science Internships information

See Seattle, WA salary details

$23.3K

$114.6K

$219.7K

How much do data science internships jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science internships in Seattle, WA is $114,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,786.00 and $166,676.00 per year, depending on experience, location, and employer.

What is a data science internship?

A Data Science Internship is a temporary position where students or recent graduates gain hands-on experience in data analysis, machine learning, and statistical modeling. Interns typically work with real-world datasets, build predictive models, and assist in data-driven decision-making processes. They may use programming languages like Python or R, tools such as SQL, and visualization libraries to communicate insights. This role helps develop technical and analytical skills while providing exposure to industry practices.

What do data science interns do?

Data Science Interns usually assist with tasks such as data cleaning and preprocessing, exploratory data analysis, developing and testing predictive models, and creating data visualizations to help teams make informed decisions. Interns often collaborate closely with data scientists, engineers, and business analysts, allowing them to contribute to larger, real-world projects while learning best practices. Daily responsibilities might also include attending team meetings, presenting results to stakeholders, and documenting their work. This hands-on experience allows interns to apply academic knowledge, build a professional portfolio, and prepare for future opportunities in the field.

What skills and qualifications are needed for data science internships?

To excel in Data Science Internships, a solid understanding of statistics, programming (often in Python or R), and data analysis is typically required, often supported by progress toward a degree in a related field. Familiarity with tools like SQL, Jupyter notebooks, data visualization libraries, and sometimes cloud platforms or machine learning frameworks is common. Strong problem-solving abilities, attention to detail, and effective communication skills help interns succeed in team environments. These skills enable interns to analyze real-world datasets, communicate findings clearly, and contribute meaningful insights to organizational projects.

What do you do as a data science internship?

A data science internship involves assisting with data collection, cleaning, analysis, and visualization to support business decisions. Interns often work with tools like Python, R, and SQL, and may contribute to building predictive models or dashboards under supervision. The role provides practical experience in data analysis and machine learning techniques within a professional environment.

What are the most commonly searched types of Data Science Internships jobs in Seattle, WA?

The most popular types of Data Science Internships jobs in Seattle, WA are:

What are popular job titles related to Data Science Internships jobs in Seattle, WA?

For Data Science Internships jobs in Seattle, WA, the most frequently searched job titles are:

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

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

Infographic showing various Data Science Internships job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,575 per year, or $55.1 per hour.

Full-time

Re-posted 2 days ago


Job description

One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking 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, driven, self-starting, resourceful, innovative, collaborative, and we get a lot done while having fun. If that sounds like you, then read on!
Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies.
YOUR RESPONSIBILITIES
As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the innovative products we are building. You will be responsible for developing, improving and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques. Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design.
JOB REQUIREMENTS
  • Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics.
  • Demonstrated success in using or (and preferably) developing machine learning models and data platforms in a production environment.
  • Training in deep learning approaches and natural language processing
  • Advanced proficiency with Python for data analysis
  • Must be fluent in either keras or tensorflow
  • Experience with large data sets (10 million+ rows)
  • Ability to convey rigorous mathematical concepts and considerations to non-experts
  • Experience working in an agile methodology

EDUCATION
Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred. Ideally we would like to see someone that has been published in Natural Language Processing and Deep Neural Networks.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills & Requirements Qualifications