1

Internship Data Science R Jobs (NOW HIRING)

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

... Monate Praktikum mit anschließender Masterarbeit über 6 Monate. Aufgaben: * Analyse und ... Enge Abstimmung mit R&D-Ingenieuren zur Sicherstellung physikalischer Plausibilität

Partner with data scientists and ML engineers to make datasets model-ready, including preparing ... internship. We are looking for candidates who offer strong collaborative skills and work well with ...

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry ...

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

... internships, academic projects, or applied professional experience * Working knowledge of Python ... Exposure to R or other data science and statistical tools * Experience with Power BI, Tableau, or ...

Showing results 41-60

Internship Data Science R information

See salary details

$12

$22

$42

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

As of Aug 22, 2026, the average hourly pay for internship data science r in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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 types of projects can I expect to work on during an internship data science 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 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 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 cities are hiring for Internship Data Science R jobs?

Cities with the most Internship Data Science R job openings:

What are the most commonly searched types of Data Science R jobs?

The most popular types of Data Science R jobs are:

What states have the most Internship Data Science R jobs?

States with the most job openings for Internship Data Science R jobs include:

Data Science & Analytics Specialist

Socket.dev

Bath, OH • On-site

$90 - $130/hr

Other

Posted yesterday

New


Job description

Overview

Apogee Engineering has a exciting position for aData Science & Analytics Specialist that will provide data science and analytics support to help design, implement, and refine analytic workflows leveraging NASIC data within cloud and enterprise environments. Works under the guidance of senior engineers and analysts to enable IA/AI/ML-enabled mission workflows.

****Contingent Upon Contract Award****

Responsibilities
  • Assist in developing and refining analytic workflows that operate on large, complex NASIC datasets.
  • Support the preparation and transformation of data for IA/AI/ML and advanced analytics.
  • Help conduct quantitative analysis, exploratory data analysis, and basic modeling to support mission objectives.
  • Document analytic processes, data flows, and results in support of technical reports and briefings.
  • Collaborate with systems engineers, software engineers, and mission analysts to align analytics with operational use cases.
Qualifications

MinimumExperience:

Citizenship:Must be a US citizenClearance:Ability to obtain and maintain a TS/SCI security clearance.

Education / Years of Experience:Additional Experience:

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field, with at least two (2) years’ related experience (may include applied research, internships, or professional work).
  • Experience using data analysis tools or languages (e.g., Python, R, SQL, or similar).
  • Ability to interpret quantitative results and communicate them clearly in written and verbal form.
  • Familiarity with basic data management and data quality concepts.

Preferred Qualifications:

  • Experience supporting IA/AI/ML model development, evaluation, or integration.
  • Familiarity with cloud-based data and analytics platforms.
  • Experience working with intelligence or operational datasets (simulated or real).

Additional InformationLocation: Wright Patterson AFB Dayton, OHOn-site/Hybrid/Remote:On-siteTravel: Occasional

#J-18808-Ljbffr