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Internship R Programming Language Jobs in Denver, CO

Interns will be expected to think critically, work collaboratively, and deliver insights that drive ... Proficiency in at least one programming language commonly used in data science (e.g., Python or R)

AI Engineer

Denver, CO

$110K - $150K/yr

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

Proficient in Python, R, Matlab, Lua, or other data science-centric programming language. * Mathematical knowledge of optimization, multi-variate calculus, probability amp; statistics, linear algebra ...

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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 Jun 3, 2026, the average hourly pay for internship r programming language in Denver, CO is $17.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.81 per hour, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of R Programming Language jobs in Denver, CO? The most popular types of R Programming Language jobs in Denver, CO are:
What are popular job titles related to Internship R Programming Language jobs in Denver, CO? For Internship R Programming Language jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Denver, CO look for? The top searched job categories for Internship R Programming Language jobs in Denver, CO are:
Data Scientist Intern

$24/hr

Full-time

Posted 14 days ago


Hercules Industries rating

8.1

Company rating: 8.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

120th of 415 rated machine equipment manufacturers


Job description

The Data Scientist Intern at Hercules Industries will play an active role in building a modern, data-driven enterprise. This is not a traditional internship focused on observation or support work, interns will work on real business problems that directly impact supply chain, operations, and customer outcomes. As part of Hercules' transformation to a data-centric organization, this role provides the opportunity to apply data science to real-world industrial challenges, contribute to meaningful value creation, and gain direct exposure to business leaders and decision-making. Interns will be expected to think critically, work collaboratively, and deliver insights that drive action. $24.00 PER HOUR; M-F 8 A.M. - 5 P.M. - STARTING SUMMER OF 2026
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.
Problem Solving & Analytical Thinking
  • Work on clearly defined, high-impact business problems such as:
    • Demand forecasting and demand variability analysis
    • Inventory optimization and parameter tuning (safety stock, lead times)
    • Service level and fill rate analysis
    • Supplier performance and lead time variability
  • Break down business problems into structured analytical approaches
  • Ask thoughtful questions to refine problem statements and assumptions

Data Analysis & Model Development
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
  • Build analytical models using statistical and machine learning techniques (as appropriate to experience level)
  • Develop data visualizations and summaries that communicate key findings
  • Support the development of predictive and descriptive models alongside full-time data scientists

Data Preparation & Quality Awareness
  • Work with datasets from ERP (M3), data warehouse, and operational systems
  • Clean, structure, and validate data for analysis
  • Identify data quality issues and highlight opportunities for improvement
  • Collaborate with Data Engineers to understand data pipelines and structures

Business Integration & Insight Communication
  • Translate analytical findings into clear, actionable insights
  • Present results to team members and, where appropriate, business stakeholders
  • Connect analysis to real business outcomes (e.g., inventory reduction, improved service levels)
  • Support the development of recommendations that can be implemented in the business

Collaboration & Learning
  • Work closely with:
    • Data Scientists
    • Data Engineers
    • Supply Chain and Operations leaders
  • Participate in regular project reviews and working sessions
  • Actively seek feedback and continuously improve technical and business skills

QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each of the below essential duties satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability preferred. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
  • Currently pursuing a bachelor's or master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related discipline
  • Strong foundational knowledge of: statistics and probability

Data analysis and exploratory data analysis (EDA)
  • Proficiency in at least one programming language commonly used in data science (e.g., Python or R)
  • Experience working with data using tools such as SQL, Pandas, or similar frameworks
  • Ability to structure ambiguous problems into clear analytical approaches
  • Strong attention to detail and commitment to data accuracy and quality
  • Effective communication skills, with the ability to explain insights to both technical and non-technical audiences

What You Will Gain
Real-World Impact
  • Opportunity to work on projects that directly influence how a company operates
  • Exposure to real supply chain, operations, and business challenges
  • Ability to see your work drive measurable outcomes

Skill Development
  • Hands-on experience with:
    • Data analysis and modeling
    • Business problem-solving
    • Data visualization and communication
  • Exposure to enterprise systems (ERP, data warehouse, CRM)

Business Exposure
  • Direct interaction with business leaders and decision-makers
  • Understanding of how analytics supports strategy and operations
  • Insight into how a mid-sized company transforms and grows

Career Opportunity
  • High-performing interns will be considered for full-time roles
  • Opportunity to be part of building a long-term data science capability at Hercules

What Success Looks Like
  • Delivery of clear, actionable insights that support business decisions
  • Strong engagement with assigned projects and teams
  • Demonstrated growth in both technical and business capabilities
  • Contribution to meaningful improvements in forecasting, inventory, or operations
  • Recognition as a potential full-time hire and future leader within Hercules

Why Hercules
  • Opportunity to make a material impact-your work will matter
  • Work in a company that is actively transforming and investing in data and analytics
  • Employee-owned (ESOP), aligning effort with long-term value creation
  • Right-sized organization: large enough for complexity, small enough for visibility and impact
  • A culture that values curiosity, problem-solving, and continuous improvement

LANGUAGE SKILLS: Ability to effectively communicate with customers and staff to make an accurate assessment of customer needs.
MATHEMATICAL SKILLS: Ability to perform basic mathematical calculations required to accurately complete assigned tasks.
COMPUTER SKILLS: Intermediate computer skills, including Microsoft Office.
REASONING ABILITY: Ability to interpret a variety of instructions furnished in oral or written form. Ability to use sound judgment and problem-solving skills.
ATTENDANCE DEMANDS: The attendance demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Attendance is required Monday through Friday 8:00 A.M. to 5:00 P.M. or within normal business hours as established by the supervisor. Employee may be required to work overtime, and occasional Saturday's and Sunday's.
PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; walk and stand; use hands, handle, or feel; and required to speak, read, and hear English. The employee frequently is required to reach with hands and arms. The employee is occasionally required to climb or balance; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include the ability to adjust focus.
WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
  • The noise level in the work environment is usually moderate but may be loud on occasion.
  • This position may on occasion be exposed to extreme weather conditions that may affect a warehouse environment.
  • This is a fast-paced environment.

DISCLAIMER: The preceding job description is designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.
Hercules Industries is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as a qualified individual with disability, or other legally protected status.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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