ZipRecruiter

Log In

1

Internship R Programming Language Jobs in Birmingham, AL

4pconsultinginc

Data Scientist III (IT)

Birmingham, AL · On-site

Proficiency in at least one programming language: * Python or * R * Hands-on experience with data wrangling, analysis, and exploration * Familiarity with a wide range of machine learning algorithms

Magna

IOT Developer - 4.0 Engineer

Birmingham, AL

s may display in multiple languagesbased on your language selection. What we offer: At Magna, you ... Understanding of multiple computer programming languages, i.e. JavaScript, C#, R, Python, C++ and ...

Magna

IOT Developer - 4.0 Engineer

Birmingham, AL · On-site

s may display in multiple languages based on your language selection. What we offer: At Magna, you ... Understanding of multiple computer programming languages, i.e. JavaScript, C#, R, Python, C++ and ...

Kelly Services

Documentation Specialist

Hoover, AL · On-site

$20 - $23/hr

Collaborate with Engineering and CAD departments to precisely document project components ... Excellent spelling, grammar, and language skills. * Strong organizational abilities with keen ...

New

PNC Bank

Fraud Model Analyst

Birmingham, AL · On-site +1

$45K - $103.50K/yr

Python, R Language, SQL, SAS nice to have Statistical Modeling, Validation Data Science, Statistics ... May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to ...

next page

Showing results 1-20

People also search for

All JobsR Programming Language JobsInternship R Programming Language JobsInternship R Programming Language Jobs in Birmingham, AL

Internship R Programming Language information

See Birmingham, AL salary details

$8

$16

$22

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

As of May 29, 2026, the average hourly pay for internship r programming language in Birmingham, AL is $16.22, according to ZipRecruiter salary data. Most workers in this role earn between $13.51 and $18.03 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 popular job titles related to Internship R Programming Language jobs in Birmingham, AL? For Internship R Programming Language jobs in Birmingham, AL, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Birmingham, AL look for? The top searched job categories for Internship R Programming Language jobs in Birmingham, AL are:
What cities near Birmingham, AL are hiring for Internship R Programming Language jobs? Cities near Birmingham, AL with the most Internship R Programming Language job openings:
Internship R Programming Language jobs near you

Data Scientist III (IT)

4pconsultinginc

Birmingham, AL • On-site

Contractor

Posted 2 days ago

Job description

Position: Data Scientist III (IT)

Location: Birmingham, AL

Duration:  1 Year

Client: Alabama Power

Job Summary

The Data Scientist III is responsible for applying advanced data analysis techniques and the scientific method to solve complex business and technical problems. This role requires strong expertise in statistics, machine learning, and programming, with the ability to transform raw data into actionable insights.

The ideal candidate has hands-on experience with data wrangling, exploratory data analysis, statistical modeling, machine learning algorithms, and data visualization, and can work effectively with large and complex datasets in an enterprise IT environment.

Key Responsibilities

  • Apply the scientific method to frame problems, test hypotheses, and validate results
  • Perform data wrangling, cleansing, and preprocessing on structured and unstructured datasets
  • Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies
  • Build, evaluate, and deploy statistical and machine learning models
  • Apply a variety of machine learning algorithms (e.g., regression, classification, clustering, ensemble methods)
  • Work with large-scale datasets and big data processing frameworks
  • Create data visualizations and dashboards to communicate insights effectively
  • Collaborate with cross-functional teams including IT, data engineering, analytics, and business stakeholders
  • Translate complex analytical findings into clear, actionable recommendations
  • Document methodologies, models, assumptions, and results

Required Qualifications

  • 5–10 years of experience in data science, analytics, or a related role
  • Strong proficiency in statistics and probability
  • Proficiency in at least one programming language:
  • Python or
  • R
  • Hands-on experience with data wrangling, analysis, and exploration
  • Familiarity with a wide range of machine learning algorithms
  • Experience creating data visualizations using industry-standard tools or libraries
  • Strong analytical, problem-solving, and critical-thinking skills
  • Excellent written and verbal communication abilities

Preferred Qualifications

  • Experience with big data processing frameworks (e.g., Spark, Hadoop, or similar)
  • Familiarity with cloud-based data or analytics platforms
  • Experience deploying or operationalizing machine learning models
  • Knowledge of data visualization tools (e.g., Tableau, Power BI, or equivalent)
  • Experience working in an enterprise or IT-driven environment