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Summer Statistics Internships Jobs (NOW HIRING)

Fortegra

2027 Summer Internship

Jacksonville, FL · On-site

The 8-week Summer Internship Program offers students the chance to gain real-world experience in a ... statistics, risk management, actuarial sciences, data analysis, finance, accounting or other ...

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Summer Statistics Internships information

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How much do summer statistics internships jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for summer statistics internships in the United States is $16.47, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.31 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Summer Statistics Internship?

As a Summer Statistics Intern, you can expect to work on a variety of projects involving data collection, analysis, and visualization. Depending on the organization's focus, you might assist with designing experiments, performing statistical modeling, or generating reports to help inform business decisions. Interns often collaborate closely with experienced statisticians and data scientists, gaining exposure to real-world datasets and modern analytical tools. This hands-on experience not only builds technical skills but also provides insight into how statistical methods support organizational goals.

What is the difference between Summer Statistics Internships vs Summer Data Analyst Internships?

AspectSummer Statistics InternshipsSummer Data Analyst Internships
Required CredentialsTypically pursuing or completed a degree in statistics, mathematics, or related fieldOften requires a degree in data science, analytics, or related discipline
Work EnvironmentInternships in corporate, research, or academic settings focusing on statistical analysisInternships in business, tech companies, or consulting firms analyzing data for decision-making
Employer & Industry UsageUsed across research institutions, government agencies, and corporations needing statistical expertiseCommon in tech, finance, marketing, and consulting industries for data-driven insights

Summer Statistics Internships focus on applying statistical theories and methods, often involving research and academic projects. In contrast, Summer Data Analyst Internships emphasize practical data analysis skills for business insights, often involving tools like Excel, SQL, and Tableau. Both roles require analytical skills but serve different industry needs and career paths.

What are the key skills and qualifications needed to thrive in a Summer Statistics Internship, and why are they important?

To thrive in a Summer Statistics Internship, you need a solid grasp of statistical methods, data analysis, and coursework in statistics or related fields such as mathematics or computer science. Familiarity with statistical software like R, Python, SAS, or SPSS is typically required, along with proficiency in Excel for data manipulation. Attention to detail, problem-solving ability, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for producing accurate analyses and contributing meaningful insights to research or business projects.

What are summer statistics internships?

Summer statistics internships are short-term, typically 8-12 week positions offered during the summer months for students or recent graduates interested in gaining practical experience in the field of statistics. Interns work with professionals on real-world projects that may involve data analysis, statistical modeling, research, and using statistical software. These internships provide valuable hands-on experience, networking opportunities, and a chance to apply classroom knowledge in a professional setting, often serving as a stepping stone to full-time roles in data science, analytics, or research.
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Summer Statistics Internships jobs near you
Infographic showing various Summer 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 $34,261 per year, or $16.5 per hour.
Summer 2027 Quantitative Research Internship

Summer 2027 Quantitative Research Internship

Point72

New York, NY • On-site

$240K - $300K/yr

Full-time, Temporary, Internship

Posted 4 days 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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