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How much do statistics internships jobs pay per year?

As of May 30, 2026, the average yearly pay for statistics internships in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a Statistics Internships job?

A Statistics Internship is a temporary position that allows students or recent graduates to gain hands-on experience in data analysis, statistical modeling, and research. Interns typically work with datasets, perform statistical tests, and assist in interpreting results to support business or research objectives. These roles are common in industries such as finance, healthcare, technology, and government. The internship helps build practical skills in statistical software like R, Python, or SAS, preparing candidates for full-time roles in data science, analytics, or research.

What are the key skills and qualifications needed to thrive in the Statistics Internships position, and why are they important?

To thrive in a Statistics Internship, you should have a solid understanding of statistical theory, data analysis methods, and proficiency in mathematics, typically supported by coursework in statistics or a related field. Familiarity with statistical software such as R, Python, SAS, or SPSS, as well as spreadsheet tools like Excel, is commonly expected. Strong analytical thinking, clear communication, and teamwork skills are highly valued in this role. These qualifications are essential to accurately analyze data, interpret results, and effectively contribute to collaborative research or business projects.

What kind of projects do statistics interns typically work on during their internship?

Statistics interns often support data-driven projects such as analyzing large datasets, creating data visualizations, running statistical tests, and assisting with preparing reports or presentations. You might collaborate closely with research teams, business analysts, or data scientists to help solve real-world problems or inform business strategies. Many internships also provide opportunities to learn how to clean and preprocess data, interpret findings, and communicate results to non-technical stakeholders. These experiences help interns develop practical skills and better understand how statistical analysis is applied in professional settings.
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Statistics Internships jobs near you
Infographic showing various Statistics Internships job openings in the United States as of May 2026, with employment types broken down into 43% Full Time, 55% Part Time, and 2% Temporary. Highlights an 55% Physical, 5% Hybrid, and 40% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

(FALL) Data Analyst Intern

IntegraFEC - Internships

Austin, TX

Other

Posted yesterday

Job description

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications  to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university's top intellectual talent.  

As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you:  

  • Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry  
  • Opportunities to work on team-based and individual projects  
  • Visibility to industry experts  

Job Qualifications:  

  • Familiarity with R, SQL, Python, or other scripting languages
  • Proficiency in Microsoft Excel
  • Attention to detail with big-picture understanding
  • Ability to work well in teams
  • Highest ethical standards
  • All education levels (Bachelor's, Master's, or Ph.D.) welcome

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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