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Internship R Programming Language Jobs in Columbus, OH

Munich Re

Data Scientist, AI

Columbus, OH · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

New

EMCOR Group Inc

Upland Mechanical, Inc.

Columbus, OH · On-site

$87K - $118K/yr

Project Engineer, Construction (Mechanical) Location: Columbus, OH 43801 or New Albany, OH 43031 ... Prior internship experience in related field and/or one to three years of mechanical, plumbing, and ...

Aep

Telecommunication GIS Analyst

Gahanna, OH · On-site

$63K - $79K/yr

Associate degree in GIS, Computer Science, Engineering, or relevant field from an accredited ... Basic understanding of Python, SQL, or other scripting language and web application configuration

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Internship R Programming Language information

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$8

$16

$22

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

As of Jun 17, 2026, the average hourly pay for internship r programming language in Columbus, OH is $16.71, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $18.56 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 Columbus, OH? For Internship R Programming Language jobs in Columbus, OH, the most frequently searched job titles are:
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Internship R Programming Language jobs near you

Lead Data Scientist - AI Automation

Huntington

Columbus, OH • On-site

$93K - $189K/yr

Full-time

Posted 19 days ago

Job description

Description

The Data and Analytics Team is seeking a highly skilled Lead Data Scientist with deep expertise in modern AI technologies. The ideal candidate will apply advanced knowledge in machine learning, natural language processing, and artificial intelligence to design, develop, and deploy models that accelerate innovation and support strategic decision-making. As part of the Enterprise Data and Analytics organization, the AI CoE drives measurable impact across the business through outcome-focused project execution. This newly created role will be dedicated to AI Automation value streams and lead data science initiatives from concept through deployment.

Key Responsibilities

  • Collaborate with the Product Owner to manage the end-to-end AI development lifecycle—requirements gathering, data sourcing, model development, proof-of-concept demonstrations, risk governance reviews, and production deployment across both on-premises and AWS environments.
  • Demonstrate strong self-discipline and professional ownership in managing project activities, maintaining transparent communication with leadership, seeking managerial guidance when appropriate, and proactively surfacing risks, blockers, or resource needs to ensure timely delivery.
  • Apply automation techniques to streamline manual processes, enhance productivity and accuracy, and develop reusable, scalable self-service tools and assets.
  • Stay current with emerging machine learning, cloud, and AI technologies, driving innovation by evaluating and integrating new capabilities into existing workflows and products.

Basic Requirements

  • Master’s degree in Statistics, Economics, Data Science
  • Five or more years related work experience in AWS cloud machine learning or a similar AI platforms, with familiarity in AWS Sagemaker, Lambda, S3, Athena

Preferred Skills and Characteristics

  • PHD
  • Proficiency in one or more programming languages, including Python (preferred) or R, Spark, and other modern data science tools.
  • Working knowledge of Large Language Models (Llama, Claude, Titan), including experience with frameworks such as LangChain, vector databases, embeddings, and prompt engineering.
  • Willingness to step outside traditional modeling tasks to solve broader technical or business challenges in support of team and organizational goals.
  • Hands‑on experience with LLM fine‑tuning
  • Practical understanding of advanced Retrieval‑Augmented Generation (RAG) methods such as MMR, multi‑vector retrieval, RAG‑fusion, HYDE, self‑RAG, and retrieval evaluation frameworks.
  • Knowledge and practical experience with Agentic AI and agentic workflows, including task orchestration, multi‑agent collaboration, tool‑use agents, and workflow automation patterns.
  • Hands‑on experience with advanced AWS AI/ML services such as Bedrock, JumpStart, Textract, and related ML orchestration capabilities

#LI-NG1

#LI-Onsite


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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