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Internship R Programming Language Jobs (NOW HIRING)

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Experience with R programming language and libraries desirable * Independent decision-making and working with a small focused self-directed team to accomplish goals quickly is required. * Critical ...

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Internship R Programming Language information

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How much do internship r programming language jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for internship r programming language in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship in R programming language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What types of projects or tasks can I expect to work on during an R programming language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.

What are the key skills and qualifications needed to thrive as an R programming language intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

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What cities are hiring for Internship R Programming Language jobs?

Cities with the most Internship R Programming Language job openings:

What are the most commonly searched types of R Programming Language jobs?

The most popular types of R Programming Language jobs are:

What states have the most Internship R Programming Language jobs?

States with the most job openings for Internship R Programming Language jobs include:

Infographic showing various Internship R Programming Language job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

AI Platforms Analytics and Governance Lead

Spring, TX


Hp
IT Services • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

70th of 159 rated electronics manufacturers

People enjoy working here

Good employer

Paid breaks


$130K - $205K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 27 days ago


Job description

AI Platforms Analytics and Governance Lead

Description -

Job Summary

The rapid adoption of AI platforms such as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized expertise to monitor usage patterns, optimize consumption, control costs, and maximize business value. Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional Data Scientist roles focus on model development and machine learning. This position combines both disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. This will provide sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization.

This role ensures use of statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights including model analysis, predictive analytics, and cost optimization strategies for enterprise AI investments. The role works closely with teams across the organization to understand their data needs, provide insights, and support their data-related initiatives.

Responsibilities

  • Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI.
  • Define platform standards, governance policies, and model consumption guidelines.
  • Evaluate emerging AI technologies and recommend adoption strategies.
  • Partner with security, legal, privacy, and compliance teams.
  • Develop budget guardrails and cost allocation strategies.
  • Create consumption forecasting models and executive dashboards.
  • Identify optimization opportunities including:
    • Prompt engineering
    • Prompt caching
    • Model routing
    • Token reduction
    • Context window optimization
    • RAG optimization
    • Batch processing
    • Agent orchestration improvements
  • Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects.
  • Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends.
  • Developing forecasting models to predict AI credit consumption, budget requirements, and capacity needs.
  • Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups.
  • Drives innovation and integration of new data science related technologies and practices into projects and activities in the business.
  • Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions.
  • Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction.
  • Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans.
  • Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment.
  • Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements.
  • Partnering with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions.

Education & Experience Recommended

  • Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
  • Typically has 10+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.

Preferred Certifications

Programming Language/s Certification (SQL, Python, or similar)

Knowledge & Skills

Agile Methodology

Business Intelligence

Computer Science

Dashboard

Data Analysis

Data Management

Data Modeling

Data Quality

Data Science

Data Visualization

Data Warehousing

Extract Transform Load (ETL)

Machine Learning

Power BI

Python (Programming Language)

R (Programming Language)

SAS (Software)

SQL (Programming Language)

Statistics

Tableau (Business Intelligence Software)

Cross-Org Skills

Effective Communication

Results Orientation

Learning Agility

Digital Fluency

Customer Centricity

Impact & Scope

Impacts large functions and leads large, cross-division functional teams or projects.

Complexity

Provides highly innovative solutions to complex problems within established policy.

Pay & Benefits

The pay range for this role is $130,700 to $205,200 USD annually with additional

opportunities for pay in the form of bonus and/or equity (applies to United

States of America candidates only). Pay varies by work location, job-related

knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave
  • US benefits overview https://hpbenefits.ce.alight.com/

The compensation and benefits information is accurate as of the date of this

posting. The Company reserves the right to modify this information at any time,

with or without notice, subject to applicable law.

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

Yes

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"


HP logo

About HP

Sourced by ZipRecruiter

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Our history: HP's commitment to diversity, equity and inclusion - it's just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Palo Alto, CA, US

Year founded

1939


What HP employees say

Pay

Benefits

Hours and flexibility

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