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Internship R Programming Language Jobs in Pittsburgh, PA

Green Cabbage

Data Scientist I

Warrendale, PA · On-site

... R or other relevant language. You demonstrate experience in: * Heavy contributor in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general ...

Highmark Health

Senior Decision Support Analyst

Pittsburgh, PA · Hybrid

$85K - $113K/yr

... programming languages (such as SAS, R, SQL) and other database technology (DB2, Teradata, and ... Must be comfortable presenting findings and offering recommendations to senior management Language ...

Highmark Health

Senior Decision Support Analyst

Pittsburgh, PA · On-site

$85K - $113K/yr

... programming languages (such as SAS, R, SQL) and other database technology (DB2, Teradata, and ... Must be comfortable presenting findings and offering recommendations to senior management Language ...

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All JobsInternship R Programming Language JobsInternship R Programming Language Jobs in Pittsburgh, PA

Internship R Programming Language information

See Pittsburgh, PA salary details

$8

$16

$23

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

As of Jun 19, 2026, the average hourly pay for internship r programming language in Pittsburgh, PA is $16.80, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $18.65 per hour, depending on experience, location, and employer.

Is 30 an hour good for an intern?

For an internship involving R programming, a rate of $30 an hour is considered above average in many regions, especially for entry-level or learning positions. Interns typically earn lower wages, but this rate may reflect specialized skills, remote work, or competitive markets; it is important to consider local standards and the internship's scope. Compensation can vary based on industry, location, and the intern's experience level.

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 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.

What jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and familiarity with data management tools. R is widely used in industries such as healthcare, finance, and academia for data analysis and modeling.

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.

Is the R programming language in demand?

The R programming language is in demand for data analysis, statistical modeling, and data visualization roles. Many industries such as healthcare, finance, and research seek professionals skilled in R, especially those familiar with data manipulation packages like dplyr and ggplot2. Proficiency in R can enhance job prospects in data science and analytics fields.

Is R in high demand?

R programming language skills are in high demand in data analysis, statistics, and data science roles. Many organizations seek professionals proficient in R for data visualization, statistical modeling, and machine learning tasks, making it a valuable skill for internships and entry-level positions in these fields.

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 popular job titles related to Internship R Programming Language jobs in Pittsburgh, PA? For Internship R Programming Language jobs in Pittsburgh, PA, the most frequently searched job titles are:
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What cities near Pittsburgh, PA are hiring for Internship R Programming Language jobs? Cities near Pittsburgh, PA with the most Internship R Programming Language job openings:
Internship R Programming Language jobs near you

Data Scientist I

Green Cabbage

Warrendale, PA • On-site

Full-time

Posted 23 days ago

Job description

About the Role
At Green Cabbage we empower our customers in the procurement and negotiation process with industry data to save money, time and risk. The company is growing rapidly, and we want to set the foundation for accelerating our development team. We are currently designing, building, and optimizing our core data science offerings and looking for a Data Scientist to join our team to steward experimentation and innovation.
Key Responsibilities:
  • Analyze and identify the linkages and interactions between the component parts of an entire system.
  • Take ownership of projects, ensuring their successful planning and technical execution.
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone and encourage others to do the same.
  • Use the review of work as an opportunity to deepen the expertise of team members.
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Qualifications:
  • Bachelor's Degree
  • 3 year(s) in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Operational research or equivalent)
  • At least 1 year of direct experience with feature identification in developing predictive models, data acquisition and preparation, and hypothesis testing.
  • At least 1 year experience in Python, R or other relevant language.

You demonstrate experience in:
  • Heavy contributor in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients
  • Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach
  • Experience processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases; and
  • Demonstrates abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:
    • Managing GenAI application including back-end and front-end integrations
    • Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);
    • Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization
    • Vectorization and embedding, prompt engineering, RAG (retrieval augmented generation) workflow development
    • Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms
    • Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.

Why Green Cabbage
Green Cabbage, the Global Leader in Procurement Intelligence, provides mid-market and enterprise clients with the data and expertise needed to achieve better deals across technology, third-party labor, marketing, and travel & expense contracts. Our flagship platform, Harvest, empowers procurement teams worldwide to access Green Cabbage's precise, governed intelligence.
At Green Cabbage, we foster a collaborative, high-energy, and growth-minded culture. We move quickly, value accountability, and celebrate team wins. If you're passionate about building secure, modern IT systems that keep a business running efficiently and safely, we'd love to hear from you.
We are an Equal Opportunity Employer and make employment decisions based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind based on race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other protected characteristic under federal, state, or local law.

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