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Data Science Internship No Experience Jobs in Renton, WA

Data Scientist

Bellevue, WA · On-site

$160 - $200/hr

With experience in data science, machine learning, statistical modeling, and/or deep learning you will bring a passion for problem-solving, turning data into actionable insights, and collaboration ...

Data Scientist

Bellevue, WA · On-site

$160 - $200/hr

With experience in data science, machine learning, statistical modeling, and/or deep learning you will bring a passion for problem-solving, turning data into actionable insights, and collaboration ...

Data Scientist

Bellevue, WA · On-site

$160 - $200/hr

With experience in data science, machine learning, statistical modeling, and/or deep learning you will bring a passion for problem-solving, turning data into actionable insights, and collaboration ...

The Prime Video Science team leverages the latest in machine learning and AI techniques combined ... R, SAS, Matlab, etc.) experience - 2+ years of machine learning, statistical modeling, data mining ...

Data Scientist

Bellevue, WA · On-site

$160K - $200K/yr

With experience in data science, machine learning, statistical modeling, and/or deep learning you will bring a passion for problem-solving, turning data into actionable insights, and collaboration ...

OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing ...

Showing results 21-40

Data Science Internship No Experience information

See Renton, WA salary details

$13

$25

$47

How much do data science internship no experience jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data science internship no experience in Renton, WA is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $27.60 per hour, depending on experience, location, and employer.

What is a data science internship no experience?

A Data Science Internship with no experience is an entry-level opportunity for students or beginners to gain hands-on exposure to data science tasks. These roles typically involve working with datasets, performing basic data analysis, and assisting with machine learning models under the guidance of experienced professionals. Employers usually look for candidates with knowledge of Python, SQL, and data visualization, even if they have no prior work experience. The goal of the internship is to build practical skills and gain industry experience for future career opportunities.

What do data science interns with no experience do?

Data Science Interns with no prior experience often support project teams by assisting with data cleaning, performing exploratory data analysis, and creating basic visualizations to communicate findings. You may be tasked with writing simple scripts, formatting datasets, and helping prepare reports or presentations for internal stakeholders. Most internships also provide mentorship, allowing you to observe and contribute to more complex machine learning or analytics projects as your skills develop. This hands-on exposure helps you gain practical experience, build your portfolio, and better understand how data science teams operate in real-world settings.

What skills and qualifications are needed for a data science internship no experience?

To thrive as a Data Science Intern with no prior experience, you should have a foundational understanding of statistics, basic programming skills (especially in Python or R), and an eagerness to learn. Familiarity with tools like Excel, Jupyter Notebook, and introductory data visualization libraries is beneficial, while online certifications (such as Coursera or DataCamp courses) can strengthen your application. Strong analytical thinking, effective communication, and a collaborative attitude are valuable soft skills. These competencies allow you to contribute to data projects, understand stakeholder needs, and grow quickly in a supportive learning environment.

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For Data Science Internship No Experience jobs in Renton, WA, the most frequently searched job titles are:

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Cities near Renton, WA with the most Data Science Internship No Experience job openings:

Infographic showing various Data Science Internship No Experience job openings in Renton, WA as of August 2026, with employment types broken down into 53% Full Time, and 47% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $52,652 per year, or $25.3 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Seattle, WA • On-site

$35/hr

Other

Posted 14 hours ago

Posted today


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

131st of 495 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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