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Internship R Statistics Jobs in Plano, TX (NOW HIRING)

Required Skills and Experience : * 3-5+ years of experience (relevant academic internships and ... statistics) or equivalent experience * Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ... Experience with at least one statistical programming language: Python, R, or SAS Other Things We ...

Statistics show that women and underrepresented groups are less likely to apply for a position if ... Minimum one (1) year of structural design experience or relevant internship experience. * Excellent ...

Internship R Statistics information

See Plano, TX salary details

$8

$16

$22

How much do internship r statistics jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for internship r statistics in Plano, TX is $16.56, according to ZipRecruiter salary data. Most workers in this role earn between $13.80 and $18.41 per hour, depending on experience, location, and employer.

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

To thrive as an R Statistics Intern, a solid understanding of statistical concepts, data analysis, and proficiency in R programming—often supported by coursework in statistics or data science—is essential. Familiarity with data visualization tools, R packages like dplyr and ggplot2, and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with team members. These skills ensure accurate data-driven insights and smooth integration into research or analytics projects.

What is the difference between Internship R Statistics vs Data Analyst?

AspectInternship R StatisticsData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, data science, or related fieldBachelor's degree in statistics, data analysis, or related field; sometimes requires experience
Work EnvironmentInternship setting, often part-time or temporary, in tech, finance, or healthcare industriesFull-time role in various industries like finance, marketing, healthcare, or tech
Employer & Industry UsageUsed by companies for training and entry-level data tasks, often in tech and research sectorsEmployed by organizations to analyze data, generate reports, and support decision-making

Internship R Statistics is an entry-level, temporary position focused on learning and assisting with statistical analysis using R. In contrast, a Data Analyst is a full-time professional role responsible for analyzing data, creating reports, and supporting business decisions. While internships are designed for skill development, data analyst roles require more experience and responsibility.

What types of projects or tasks can I expect to work on during an R Statistics internship?

As an R Statistics intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing large datasets, creating statistical models, and generating visualizations using R. You may collaborate closely with data scientists and other team members to support ongoing research, prepare reports, or assist in automating data workflows. Interns often have the opportunity to present their findings to the team and contribute to real-world decision-making processes, making this role a valuable learning experience for future careers in data analysis or statistics.

What jobs can you get knowing R?

Knowing R can qualify you for roles such as data analyst, data scientist, statistical analyst, or research analyst, where data manipulation, statistical modeling, and visualization are essential. These jobs often require proficiency with R packages like ggplot2, dplyr, and tidyverse, and may involve working in industries such as finance, healthcare, or marketing.

What job should I do if I like statistics?

If you like statistics, a career as a Data Analyst or Statistician is suitable. These roles involve analyzing data sets, creating reports, and using tools like R or Python to interpret information for decision-making. Strong analytical skills and knowledge of statistical methods are essential for these positions.

Which internship is best for statistics students?

The best internship for statistics students typically involves roles in data analysis, research, or analytics that utilize tools like R, Python, or SQL. Look for internships in industries such as finance, healthcare, or technology that offer hands-on experience with statistical modeling and data visualization. These opportunities often require strong analytical skills and may lead to full-time positions in data science or analytics.

What are Internship R Statistics positions?

Internship R Statistics positions are internships that focus on using the R programming language for statistical analysis and data processing. These roles are typically aimed at students or recent graduates who want hands-on experience working with data, performing statistical modeling, and visualizing results using R. Interns may work in various industries, such as healthcare, finance, or technology, and often assist with tasks like data cleaning, exploratory data analysis, and report generation. These internships help participants develop practical skills in R, deepen their understanding of statistics, and prepare them for careers in data science or analytics.

What can I do with a BS in statistics?

A BS in statistics prepares individuals for roles such as data analyst, statistician, or research assistant, where they analyze data, develop models, and interpret results. Skills in programming languages like R or Python and knowledge of statistical software are often required. These roles are common in industries like healthcare, finance, marketing, and technology.
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Quantitative Researcher Intern

Full-time

Posted 18 days ago


Job description

Company Description

Recruiters: Please do not contact individuals.  Please review our position on LinkedIn for further instructions.

VWH Capital Management, LP ("VWH") is an SEC-registered investment advisor and private equity firm with multi-billion dollars in assets under management. The firm is the winner of the 2023 Private Equity Wire US Emerging Manager Award for Best Performance: Debt. VWH is a major player in the U.S. distressed residential mortgage loan space and seeks to generate long-term returns in whole loans, distressed credit, and securitized products. VWH is headquartered in Dallas. For more information visit www.vwhcapital.com.

Job Description

VWH is seeking to hire a Quantitative Research Intern to work with the firm's analytics and investment team. This role will work closely with key stakeholders and contribute to the continued growth and success of VWH's residential mortgage and securities business as well as new opportunities and strategies. Ultimately, a successful candidate will be considered for full-time employment upon completion of their internship and degree.

Responsibilities
Conduct empirical analysis on residential mortgage performance including prepayment, default, loss severity and transition matrix based on large scale of loan level data
Develop a full spectrum of statistical models including prepayment, default, loss severity and multi-step transition models to analyze loan performance
Conduct full-scale backtests including in-sample and out-of-sample tests for models developed
Coordinate with the analytics team to implement statistical models and apply to investment decision making
Assist in exploring models for new investment products
Communicate to senior management on model attributes, performance, forecasts and risk/valuation implications
Other duties as assigned.

Qualifications

Holding or working toward a PhD in Statistics, Economics, Finance or other related quantitative fields
Proficiency in statistical and econometric modeling, such as survival analysis, time series models, logistic regression, multinomial logistic regression, Monte Carlo simulation, as well as machine learning
Hands on experience in working with large scale data sets
Familiarity with financial mathematics, knowledge of mortgage analytics is a plus
Proficiency in R/Python/Java or other statistical software packages.
Ability to manage multiple tasks and deliver high quality work in a dynamic environment
Ability to work in Uptown Dallas office
US work authorization is required. The firm will sponsor H1B for full-time employees.
 

Additional Information

VWH offers competitive compensation during the internship program.

VWH Capital Management, LP is an equal opportunity employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic prohibited by applicable law.