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Internship R Programming Language Jobs in Pittsburgh, PA

AI and Data Science Engineer III

Pittsburgh, PA · On-site

$111K - $133K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI fluency and familiarity with machine learning concepts, large language model applications, or AI ...

... Language for database management. * Data Visualization Tools: Experience with tools like Tableau, Power BI. * Programming Languages: Familiarity with languages like Python or R. * Data Cleaning and ...

Our current work includes research in generative AI and large language models, computer vision ... Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy ...

Associate Data Scientist

Pittsburgh, PA · On-site

$57K - $57K/yr

Our current work includes research in generative AI and large language models, computer vision ... Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy ...

... 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 ...

... 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 ...

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Internship R Programming Language information

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$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:
What job categories do people searching Internship R Programming Language jobs in Pittsburgh, PA look for? The top searched job categories for Internship R Programming Language jobs in Pittsburgh, PA are:
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:
AI and Data Science Engineer III

AI and Data Science Engineer III

Deloitte

Pittsburgh, PA • On-site

$111K - $133K/yr

Other

Posted 20 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

AI Data Science Engineer III

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior Consultant in Data Science to join our Human Capital practice and help shape the future of workforce analytics. In this role, you will build and design and deliver data-driven products and solutions that drive measurable impact clients. You will be part of a collaborative, multidisciplinary team that brings together data science, human capital strategy, and technology to advance what's possible for our clients.

This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that extend our Human Capital service offerings.

Recruiting for this role ends on August 30, 2026

Work You'll Do:

As an AI Data Science Engineer III, you will work directly Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights.

Key Responsibilities:

  • Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
  • Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
  • Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
  • Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
  • Support business development efforts including proposals, client presentations, and thought leadership content.
  • Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
  • Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Required Qualifications:

  • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
  • 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
  • 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
  • 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
  • 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
  • 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
  • Ability to travel 0-25%, on average, based on client and project needs.
  • Limited immigration sponsorship may be available

Preferred Qualifications:

  • Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
  • Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
  • AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
  • Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
  • Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
  • Proficiency in Python or R for statistical modeling and data wrangling.
  • Strong communication skills with the ability to convey complex analytical insights to diverse audiences.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

AI Data Science Engineer III

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior Consultant in Data Science to join our Human Capital practice and help shape the future of workforce analytics. In this role, you will build and design and deliver data-driven products and solutions that drive measurable impact clients. You will be part of a collaborative, multidisciplinary team that brings together data science, human capital strategy, and technology to advance what's possible for our clients.

This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that extend our Human Capital service offerings.

Recruiting for this role ends on August 30, 2026

Work You'll Do:

As an AI Data Science Engineer III, you will work directly Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights.

Key Responsibilities:

  • Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
  • Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
  • Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
  • Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
  • Support business development efforts including proposals, client presentations, and thought leadership content.
  • Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
  • Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Required Qualifications:

  • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
  • 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
  • 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
  • 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
  • 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
  • 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
  • Ability to travel 0-25%, on average, based on client and project needs.
  • Limited immigration sponsorship may be available

Preferred Qualifications:

  • Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
  • Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
  • AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
  • Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
  • Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
  • Proficiency in Python or R for statistical modeling and data wrangling.
  • Strong communication skills with the ability to convey complex analytical insights to diverse audiences.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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