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R Programming Intern Jobs in Texas (NOW HIRING)

American Heart Association

$23/hr

... data engineering, and statistical modeling within clinical and biomedical research settings ... Demonstrated proficiency in Python, R, and SQL, with experience developing reproducible data ...

New

IntelliPro Group Inc.

Business Data Analyst

Plano, TX · On-site

$69/hr

... Engineering, Analytics, or similar quantitative STEM field. * Relevant professional work experience (paid, non-academic, non-intern) OR an advanced degree in one or more of the above disciplines.

IntelliPro Group Inc.

Business Data Analyst

Plano, TX · On-site

... Engineering, Analytics, or similar quantitative STEM field. * Relevant professional work experience (paid, non-academic, non-intern) OR an advanced degree in one or more of the above disciplines.

Exos

Sports Science Intern - Fall 2026

Plano, TX · On-site

$14.25 - $19.25/hr

Basic knowledge of Excel; experience with data software (Python/R) preferred. * Current CPR/AED and ... As an elite coaching company, Exos applies its evidence-based methodology to programming designed ...

Exos

Sports Science Intern - Fall 2026

Plano, TX

$14.25 - $19.25/hr

Basic knowledge of Excel; experience with data software (Python/R) preferred. * Current CPR/AED and ... As an elite coaching company, Exos applies itsevidence-based methodology to programming designed to ...

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All JobsR Programming Intern JobsR Programming Intern Jobs in Texas

R Programming Intern information

What does an R Programming Intern do?

An R Programming Intern typically assists in analyzing data, writing scripts, and developing reports using the R programming language. They support data science or analytics teams by cleaning data, running statistical analyses, and visualizing results. Interns may also help automate routine tasks and contribute to ongoing research or business projects, gaining valuable experience in coding and data interpretation. This role is ideal for students or recent graduates interested in data science, statistics, or software development.

What is the difference between R Programming Intern vs Data Analyst Intern?

AspectR Programming InternData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge, some R or Python
Work EnvironmentData-focused projects, research teams, tech companiesBusiness insights, reporting, cross-department collaboration
Common UsageData analysis, statistical modeling, researchData interpretation, reporting, decision support

While both roles involve working with data, an R Programming Intern primarily focuses on statistical analysis and data visualization using R, often in research or technical environments. A Data Analyst Intern may use R but also relies heavily on tools like Excel and SQL for broader data interpretation and reporting. The R Programming Intern role is more specialized in programming and statistical modeling, whereas the Data Analyst Intern role emphasizes data-driven decision-making across various business functions.

What types of projects and tasks can I expect to work on as an R Programming Intern?

As an R Programming Intern, you'll typically assist with data cleaning, analysis, and visualization tasks using R. You may work on real datasets, develop scripts to automate data workflows, and contribute to reporting or dashboard creation. Collaboration is common—you'll likely partner with data scientists, analysts, or research teams, gaining practical experience in both technical coding and teamwork. This hands-on exposure helps you build a strong foundation in both R programming and the broader field of data analysis.

What are the key skills and qualifications needed to thrive as an R Programming Intern, and why are they important?

To thrive as an R Programming Intern, you need a solid understanding of R programming, data analysis, and statistical concepts, often supported by coursework in statistics, data science, or a related field. Familiarity with tools such as RStudio, version control systems like Git, and packages like dplyr and ggplot2 is typically required. Strong problem-solving skills, attention to detail, and effective communication set standout interns apart. These competencies are crucial for accurately analyzing data, collaborating with teams, and contributing meaningful insights to projects.
What are the most commonly searched types of R Programming jobs in Texas? The most popular types of R Programming jobs in Texas are:
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What cities in Texas are hiring for R Programming Intern jobs? Cities in Texas with the most R Programming Intern job openings:
R Programming Intern jobs near you
Infographic showing various R Programming Intern job openings in Texas as of July 2026, with employment types broken down into 14% Internship, 1% As Needed, 58% Full Time, 24% Part Time, 2% Temporary, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.
Technical Lead (Earnix developer)

Technical Lead (Earnix developer)

E-Solutions, Inc.

San Antonio, TX • On-site

Other

Posted 9 days ago

Job description

Job Title/Role Technical Lead (Earnix developer)
Experience level 10+ years
Location: San Antonio/ Plano, TX
Mode of hire: 6 months C2H (consent required)
Mandatory skills:

  • 3+ years of experience in:
    • Pricing analytics
    • Predictive modeling
    • Data science
    • Insurance/financial services analytics (preferred)
  • Strong knowledge of:
    • Statistical analysis
    • Predictive modeling
    • Machine learning concepts
    • Data visualization
  • Proficiency in:
    • SQL
    • Python or R
    • Excel
    • Tableau / Power BI


Job description:
Key Responsibilities

  • Develop, maintain, and optimize pricing and predictive models using statistical and machine learning techniques.
  • Analyze large datasets to identify pricing trends, customer behavior, and profitability drivers.
  • Support pricing strategy decisions through scenario analysis, forecasting, and simulations.
  • Build dashboards, reports, and visualizations to communicate insights to business stakeholders.
  • Collaborate with business, underwriting, product, and engineering teams to implement pricing solutions.
  • Validate model performance and ensure accuracy, consistency, and compliance with governance standards.
  • Conduct A/B testing and impact analysis for pricing changes and product enhancements.
  • Automate recurring analytical and reporting processes where possible.
  • Translate business requirements into analytical solutions and technical specifications.
  • Monitor market trends, competitor pricing, and customer behavior to recommend pricing adjustments.
  • Support regulatory and audit requests related to pricing models and data usage.


Required Qualifications

  • Bachelor’s degree in:
    • Data Science
    • Statistics
    • Mathematics
    • Economics
    • Computer Science
    • Actuarial Science
    • Engineering
    • Related quantitative field
  • 3+ years of experience in:
    • Pricing analytics
    • Predictive modeling
    • Data science
    • Insurance/financial services analytics (preferred)
  • Strong knowledge of:
    • Statistical analysis
    • Predictive modeling
    • Machine learning concepts
    • Data visualization
  • Proficiency in:
    • SQL
    • Python or R
    • Excel
    • Tableau / Power BI
  • Experience with:
    • Regression models
    • Classification models
    • Forecasting techniques
    • Data mining and segmentation

Technical Lead (Earnix developer)1Machine Learning,SQL,Python,Data Visualization,pricing,ML,Predictive Modeling,EarnixN/AC2C,W-2,1099,C2H,Part Time,Full Time,Other,Intern,Pass Through,Contract,SOLUTIONS,Hourly,Contract to Perm,W2,W2 - Profit Sharing,Sub-con,Permanent,Full TImeUnited States

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