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How much do statistics internships jobs pay per year?

As of Aug 5, 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 are the key skills and qualifications needed for a statistics internship?

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 is a statistics internship?

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 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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What cities are hiring for Statistics Internships jobs? Cities with the most Statistics Internships job openings:
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Statistics Internships jobs near you
Infographic showing various Statistics Internships job openings in the United States as of July 2026, with employment types broken down into 4% Internship, 1% As Needed, 73% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

Summer 2027 Quantitative Research Internship

Point72

New York, NY

$240K - $300K/yr

Other

Re-posted 8 hours ago

Job description

Please send CVs to KEPL-talent@cubistsystematic.com with "2027 QR Summer Internship Application" in the subject line. When your application is received, we will consider you for all similar positions at Cubist.

About Our Firm:

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About Our Team:

KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Role / Experience:

We are looking for exceptional students to be our quantitative researcher interns for the summer of 2027. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities.

Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship.

Requirements:

  • PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields
  • Strong knowledge of computational math, probability, and statistics
  • Strong analytical skills, with attention to details
  • Good communication skills
  • Willing to work in a fast-paced start-up environment
  • Willing to learn and to take ownership
  • Strong programming skills in Python or C/C++
  • Commitment to the highest ethical standards

The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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