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Internship R Statistics Jobs in Claymont, DE (NOW HIRING)

Aegon

Actuarial Intern (Summer 2027)

Philadelphia, PA · Hybrid

$24 - $29/hr

... Statistics. Most interns will have already passed at least one SOA exam by the time of their ... Knowledge of R, Python, or similar database applications * Familiarity with MS Access or other ...

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Internship R Statistics information

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How much do internship r statistics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship r statistics in Claymont, DE is $16.88, according to ZipRecruiter salary data. Most workers in this role earn between $14.09 and $18.75 per hour, depending on experience, location, and employer.

What is an internship R Statistics position?

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 are the key skills and qualifications needed to thrive as an R Statistics intern?

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 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 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.

Which internship is best for statistics students?

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

What job categories do people searching Internship R Statistics jobs in Claymont, DE look for?

The top searched job categories for Internship R Statistics jobs in Claymont, DE are:

Internship R Statistics jobs near you
Infographic showing various Internship R Statistics job openings in Claymont, DE as of August 2026, with employment types broken down into 58% Internship, and 42% Full Time. Highlights an 100% In-person job distribution, with an average salary of $35,115 per year, or $16.9 per hour.

Quantitative Research Analyst Internship

Stevens Capital Management LP - Full Time and Internships

Radnor, PA

Full-time, Part-time, Internship

Re-posted 8 days ago

Job description

We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process.  The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.

Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.

Primary Responsibilities

  • Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
  • Build data sets and conduct statistical analysis on the data.

Requirements

  • Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines). 
  • Programming experience, ideally including R, C++ and/or Python.
  • Experience with regression analysis.
  • Strong interest in learning how to build, organize and analyze large data sets.
  • Strong organizational and communication skills.

Apply