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R Programming Intern Jobs in Dallas, TX (NOW HIRING)

Capital Markets Intern

Irving, TX · On-site

$15.50 - $20/hr

The intern will assist with data-driven assessments of large financial datasets to help identify ... Experience with SQL, Python, R or other database tools * Coursework or experience in financial ...

Technical Intern I

Frisco, TX · On-site

$14 - $18.75/hr

Technical Intern I POSITION TYPE: Full time, short term LOCATION: Frisco, TX ABOUTWorldLink: From ... Proficiency in programming languages such as Python or R, and familiarity with ML frameworks (e.g ...

... 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.

... 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.

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 ...

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 ...

R Programming Intern information

See Dallas, TX salary details

$8

$16

$24

How much do r programming intern jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for r programming intern in Dallas, TX is $16.85, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

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 Dallas, TX? The most popular types of R Programming jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for R Programming Intern jobs? Cities near Dallas, TX with the most R Programming Intern job openings:
Infographic showing various R Programming Intern job openings in Dallas, TX as of July 2026, with employment types broken down into 14% Internship, 1% As Needed, 60% Full Time, 22% Part Time, 2% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $35,054 per year, or $16.9 per hour.
Capital Markets Intern

Capital Markets Intern

BSI Financial Services

Irving, TX • On-site

$15.50 - $20/hr

Temporary

Re-posted 6 days ago


Job description

Description
Position Overview
We are seeking a highly motivated Summer Intern to support the Capital Markets team at BSI Financial. This role provides hands-on exposure to credit risk, loss modeling, and portfolio performance analysis in relation to Mortgage Lending and Servicing. The intern will assist with data-driven assessments of large financial datasets to help identify trends, drivers, and opportunities for loss mitigation.
Key Responsibilities
  • Analyze historical and current data on foreclosed loans, including recovery rates, timelines, and loss severity
  • Identify trends and drivers of losses across loan characteristics such as geography, origination vintage, property type, and servicing outcomes
  • Assist with financial reporting and interest rate risk hedging strategies for BSI's portfolio of loans held for sale
  • Assist in preparing reports, dashboards, and summary presentations for stakeholders
  • Support ad hoc tasks as assigned by management

Required Qualifications
  • Currently pursuing a bachelor's or degree in Finance, Economics, Accounting, Statistics, Data Analytics, or a related field
  • Strong analytical and quantitative skills
  • Proficiency in Microsoft Excel; experience with large datasets preferred
  • Ability to communicate findings clearly in writing and presentations
  • Strong attention to detail and ability to manage multiple tasks

Preferred Qualifications
  • Familiarity with mortgage lending, credit risk and interest rate dynamics
  • Experience with SQL, Python, R or other database tools
  • Coursework or experience in financial modeling or portfolio analysis

What You'll Gain
  • Practical experience analyzing real-world credit and loss data
  • Exposure to foreclosure processes and risk management practices
  • Mentorship from experienced professionals in credit and portfolio analytics
  • Development of technical, analytical, and professional communication skills