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Statistical Internship Jobs in Illinois (NOW HIRING)

ULINE

Sales Analyst Internship - Summer 2027

Waukegan, IL · On-site

$14.25 - $19.25/hr

Sales Analyst Internship Paid Internship - Summer 2027 Corporate Headquarters 12575 Uline Drive ... Pursuing a bachelor's degree in business, statistics, analytics, IT or a related field.

Hasana, Inc.

Market Research Internship

Chicago, IL

Please note that this is an unpaid internship. As Market Research Intern for Hasana, Inc. you will ... Expert in data manipulation and statistics * Knowledge of Microsoft Excel and PowerPoint essential

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Statistical Internship information

See Illinois salary details

$35.4K

$53.6K

$95.9K

How much do statistical internship jobs pay per year?

As of Aug 22, 2026, the average yearly pay for statistical internship in Illinois is $53,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,700.00 and $58,100.00 per year, depending on experience, location, and employer.

What is a statistical internship?

A Statistical Internship is a temporary position, often held by students or recent graduates, that provides practical experience working with data and statistical methods in a professional setting. Interns typically assist with data collection, analysis, and interpretation using statistical software and techniques. These internships are valuable for gaining hands-on experience, building technical skills, and learning how statistics are applied in real-world projects across industries such as healthcare, finance, research, and government. The experience can help interns decide on future career paths and enhance their resumes for full-time roles.

What types of projects and tasks can I expect to work on during a statistical internship?

As a statistical intern, you'll typically assist with collecting, cleaning, and analyzing data under the guidance of experienced statisticians. Your daily tasks may include running statistical tests, creating data visualizations, and preparing reports that contribute to ongoing research or business projects. Interns often collaborate closely with data scientists, analysts, and sometimes cross-functional teams, gaining hands-on experience with statistical software and real-world data challenges. This role is an excellent opportunity to apply classroom knowledge to practical scenarios, build your technical skills, and gain valuable insights into potential career paths in statistics or data science.

What are the key skills and qualifications needed to thrive as a statistical intern, and why are they important?

To thrive as a Statistical Intern, you need a solid background in statistics, mathematics, and data analysis, typically supported by enrollment in or completion of a relevant degree program. Familiarity with statistical software such as R, SAS, Python, or SPSS, as well as proficiency in Excel, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills set outstanding interns apart. These competencies are essential for accurately interpreting data, supporting research projects, and contributing meaningful insights to the team.

Which internship is best for statistics students?

The best internship for statistics students is one that offers hands-on experience in data analysis, statistical modeling, and programming with tools like R or Python. Internships in data science, analytics, or research organizations provide practical skills and industry exposure valuable for future careers.

What are the most commonly searched types of Statistical jobs in Illinois?

The most popular types of Statistical jobs in Illinois are:

What cities in Illinois are hiring for Statistical Internship jobs?

Cities in Illinois with the most Statistical Internship job openings:

Statistical Internship jobs near you
Infographic showing various Statistical Internship job openings in Illinois as of August 2026, with employment types broken down into 8% Internship, 64% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $53,635 per year, or $25.8 per hour.

Quantitative Trading Internship - 2027

Dime Line Trading

Chicago, IL

Internship

Posted 29 days ago

Job description

The internship at Dime Line is a 10-week opportunity with our team of quants, data scientists and traders, available all seasons of the year.

Dime Line Trading develops algorithms to trade all major US sports. Dime Line was founded in 2020 by veterans of the financial trading and sports betting industries, who started their careers in the sports gambling space before entering the financial industry, where they individually built successful trading teams at leading firms.

WHAT YOU'LL DO:
You will have the opportunity to work with our team while receiving feedback and mentorship from our tight-knit, collaborative employees in various roles. This is an opportunity to get your feet wet within the trading industry while utilizing algorithmic, statistical, and engineering concepts applied toward the sports betting industry. There are a number of different types of opportunities within Dime Line spanning quantitative research, algorithmic trading models, live trading, and data science. Interns will have the opportunity to work within multiple fields across multiple sports. We retain a startup culture, which means that interns will be working on production projects alongside the rest of the team.

SKILLS YOU'LL NEED:
Ability to work in a fast-paced environment and handle multiple demands at once
Interest in building solutions, solving problems, and understanding how things work
Interest in sports, sports analytics / sabermetrics - please let us know about your interest or work in sports analytics!

Hands-on experience and a high level of proficiency in one or more of the following:
- Statistical modeling, especially predictive modeling in Python/R
- Python development on Linux platform
- Building algorithmic trading models in financial markets, prediction markets or similar
- Quantitative sports gambling or daily fantasy sports

It's great to see:
- Past internship or job experience in a trading, quantitative or engineering role
- Advanced coursework in statistics, optimization, operations research, and computer science