ZipRecruiter

Log In

1

Statistics Internship Jobs in Chicago, IL (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

next page

Showing results 1-20

All JobsStatistics JobsStatistics Internship JobsStatistics Internship Jobs in Chicago, IL

Statistics Internship information

See Chicago, IL salary details

$9

$17

$24

How much do statistics internship jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for statistics internship in Chicago, IL is $17.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.81 per hour, depending on experience, location, and employer.

What is a statistics internship?

A statistics internship is a temporary position that allows students or recent graduates to gain practical experience by applying statistical methods and data analysis techniques in a real-world setting. Interns typically work under the supervision of experienced statisticians or data analysts, assisting with data collection, cleaning, analysis, and interpretation. The internship helps individuals develop technical and professional skills relevant to fields such as data science, research, business analytics, healthcare, and more. It also offers valuable opportunities for networking and can often lead to full-time employment in the field.

What are some typical projects or tasks that a statistics intern works on during their internship?

Statistics Interns often assist with data collection, cleaning, and analysis for ongoing research or business projects. They may use statistical software to run analyses, create visualizations, and interpret results under the guidance of senior analysts or statisticians. Interns frequently collaborate with cross-functional teams, such as data science, engineering, or marketing, to provide insights that inform decision-making. This hands-on experience helps interns develop practical skills and gain exposure to real-world applications of statistical methodologies.

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

To thrive as a Statistics Intern, you need a solid understanding of statistical methods, data analysis, and foundational coursework in mathematics or statistics. Familiarity with statistical software such as R, Python, SAS, or SPSS, along with proficiency in Excel, is typically expected. Attention to detail, problem-solving ability, and clear communication skills help interns interpret data accurately and share findings effectively. These competencies are essential for supporting data-driven decision-making and contributing valuable insights to projects.

What is the difference between Statistics Internship vs Data Analyst?

AspectStatistics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, mathematics, or related fieldBachelor's or master's in statistics, data science, or related field
Work EnvironmentInternship setting, often in research or academic environmentsFull-time role in corporate, tech, or finance industries
Employer & Industry UsageInternship programs in universities, research institutions, or companiesBusinesses, government agencies, and consulting firms
Common Search & ComparisonYesYes

The main difference between a Statistics Internship and a Data Analyst role lies in experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while Data Analysts are full-time professionals responsible for analyzing data to inform business decisions. Both roles require strong statistical skills, but internships focus on learning and development, whereas Data Analysts perform ongoing data analysis tasks.

What are the most commonly searched types of Statistics jobs in Chicago, IL?

The most popular types of Statistics jobs in Chicago, IL are:

What are popular job titles related to Statistics Internship jobs in Chicago, IL?

For Statistics Internship jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Statistics Internship jobs in Chicago, IL look for?

The top searched job categories for Statistics Internship jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Statistics Internship jobs?

Cities near Chicago, IL with the most Statistics Internship job openings:

Statistics Internship jobs near you
Infographic showing various Statistics Internship job openings in Chicago, IL as of August 2026, with employment types broken down into 8% Internship, 61% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $37,080 per year, or $17.8 per hour.

Quantitative Trading Internship - 2027

Dime Line Trading

Chicago, IL

Internship

Re-posted 14 hours 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