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Internship Data Science R Jobs in Seattle, WA (NOW HIRING)

Deloitte

Data Scientist

Seattle, WA · On-site

... Data Science or Machine Learning role. • 5+ Years of Experience Proficiency in programming languages such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning ...

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 ...

ZS

Advanced Data Science Associate

Bellevue, WA · On-site

$105K - $115K/yr

What You'll Bring * 1-3 years of relevant professional work experience in Data Science. * A robust ... A proficiency in at least one programming language (e.g., Java/Python/R). * Experience with tools ...

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95.95K - $106K/yr

Technical understanding of machine learning, statistics, data science, and related fields * Advanced user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to ...

ZS

Advanced Data Science Consultant

Bellevue, WA · On-site

$175K - $195K/yr

What You'll Bring * 5 or more years of relevant data science professional work experience; Master ... A proficiency in at least one programming language (e.g., Java/Python/R). * Experience with tools ...

Google

Research Data Scientist, Chrome

Seattle, WA · On-site

Required : • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics ... R, SQL), querying databases or statistical analysis, or a PhD degree. Preferred : • 5 years of ...

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

As of Jun 1, 2026, the average hourly pay for internship data science r 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 are the key skills and qualifications needed to thrive as an Internship Data Science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.

What types of projects can I expect to work on during a Data Science Internship at R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What is an Internship Data Science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

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

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What are the most commonly searched types of Data Science R jobs in Seattle, WA? The most popular types of Data Science R jobs in Seattle, WA are:
Internship Data Science R jobs near you
Data Scientist

Data Scientist

Deloitte

Seattle, WA • On-site

Full-time

Posted 3 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading consulting firm seeking an experienced Data Scientist to work in a collaborative environment. The role involves identifying business problems, developing machine learning models, and communicating insights to stakeholders while focusing on delivering data-driven solutions for clients.
Responsibilities:
• Work with stakeholders to identify business problems and formulate them as data science challenges.
• Collect, clean, and explore large datasets to uncover trends and patterns.
• Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
• Validate and deploy models into production environments.
• Communicate findings and insights to technical and non-technical audiences through data visualization and presentations.
• Stay up to date with the latest trends and technologies in data science and machine learning.
• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others
• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
Qualifications:
Required:
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• 5+ Years of Experience in a Data Science or Machine Learning role.
• 5+ Years of Experience Proficiency in programming languages such as Python or R.
• 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
• 5+ Years of Experience with data manipulation and analysis libraries like pandas and NumPy
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred:
• Master's or Ph.D. in a relevant field.
• Experience with big data technologies like Spark or Hadoop.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with data visualization tools like Tableau or Power BI.
• Analytical/ Decision Making Responsibilities
• Analytical ability to manage multiple projects and prioritize tasks into manageable work products
• Can operate independently or with minimum supervision
• Excellent Written and Communication Skills
• Ability to deliver technical demonstrations
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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