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Internship R Programming Language Jobs in Indianapolis, IN

R.T. Moore

Field Engineering Intern

Indianapolis, IN · On-site

$16 - $20.75/hr

Experience Gained as an R.T. Moore Field Engineering Intern: * Customized internship path * Ability to work in a fast pace construction environment on a variety of different projects * Assigned a ...

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R.T. Moore

Field Engineering Intern

Indianapolis, IN · On-site

$16 - $20.75/hr

Experience Gained as an R.T. Moore Field Engineering Intern: * Customized internship path * Ability to work in a fast pace construction environment on a variety of different projects * Assigned a ...

Corteva, Inc.

R & D Intern - Engineering

Indianapolis, IN · On-site

$16 - $20.75/hr

Interns will work closely with experienced scientists and technical experts in an industrial R&D ... Interns will participate in a project in one of many engineering related fields such as mechanical ...

System One

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

Proficiency in SQL, Excel, and at least one statistical programming language (Python or R). * Familiarity with healthcare, pharmacy, or claims/dispensing operational data. * 1-3 years of experience ...

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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 Sep 7, 2026, the average hourly pay for internship r programming language in Indianapolis, IN is $16.54, according to ZipRecruiter salary data. Most workers in this role earn between $13.80 and $18.37 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.

What are popular job titles related to Internship R Programming Language jobs in Indianapolis, IN?

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What job categories do people searching Internship R Programming Language jobs in Indianapolis, IN look for?

The top searched job categories for Internship R Programming Language jobs in Indianapolis, IN are:

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Cities near Indianapolis, IN with the most Internship R Programming Language job openings:

Internship R Programming Language jobs near you
Infographic showing various Internship R Programming Language job openings in Indianapolis, IN as of July 2026, with employment types broken down into 2% Internship, 74% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $34,406 per year, or $16.5 per hour.

R & D Intern - Computer & Data Science

Corteva Agriscience

Indianapolis, IN • On-site

Full-time, Internship

Posted 3 days ago

New

Job description

Who are we, and what do we do. Grow what's next. Grow your future.

Are you excited to contribute to innovative research that advances food security and sustainability. Corteva Agriscience is seeking students for full-time internships within our Research and Development organization in Indianapolis, Indiana. Interns will work closely with experienced scientists and technical experts in an industrial R&D setting, with opportunities to build skills, contribute to meaningful projects, and network across the company.

What You'll Do: Interns will work on one of many computer science-based projects including automation, software engineering, information science, machine learning, database building and visualization, statistics, geospatial analysis, and/or mathematical modeling. Engage with business users to gather requirements, understand use cases, and identify opportunities to improve internal tools, workflows, and business processes. Explore and implement AI, machine learning, analytics, and automation capabilities to improve efficiency, recommend process improvements, and support data-driven decision-making.

Develop AI-enabled solutions that use historical data and patterns to recommend templates, workflows, task structures, dependencies, or other ways to manage work more effectively. Integrate and analyze data from multiple internal sources to improve data quality, reporting, dashboards, chatbot capabilities, business insights, and connections across project activities, milestones, and deliverables. Develop and enhance internal tools through workflow automation, responsibility or role mapping, administrative process improvements, and functionality that reduces manual effort.

Work with geographic information systems, where applicable, to develop new data products and conduct assessments. What Skills You Need: Currently pursuing a Bachelors, Masters, or Doctorate degree in Computer Science, Data Science, Information Science, Machine Learning, Statistics, Automation or a related Field Must have successfully completed two full years of undergraduate-level computer science or Data Science curriculum including associated laboratory courses. Strong technical data skills and business communication, curiosity and willingness to interact with stakeholders, problem-solving mindset.

Interest or experience in data engineering, data pipelines, cloud data platforms, workflow orchestration, version control, testing, deployment, or CI/CD practices is a plus. Minimum 3.0 GPA Must be able to relocate to Indianapolis, IN for the duration of the internship. Must be able to work full-time (40 hours per week) for at least 10 weeks during the timeframe of May to August (some six-month internship opportunities available)

Experience with the R programming language, Python, cloud computing (Azure, AWS, GCP), and visualization packages is a plus but not required. Are you a good match. Apply today.

We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance.

Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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