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Data Science Internship Jobs in Park Ridge, IL (NOW HIRING)

Data Scientist

Chicago, IL · On-site

$79K - $158K/yr

... science, analytics, business intelligence, or a related field, including internship or academic project experience - Experience using Python and SQL for data analysis and problem-solving ...

Help drive our data science culture and strategy. Qualifications Desirable Skills and Experience: * Must have at least 3 years of professional experience outside of academic or internship settings.

Help drive our data science culture and strategy. Qualifications Desirable Skills and Experience: * Must have at least 3 years of professional experience outside of academic or internship settings.

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Data Science Internship information

See Park Ridge, IL salary details

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How much do data science internship jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data science internship in Park Ridge, IL is $22.14, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $24.13 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a data science internship?

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.

What are the key skills and qualifications needed to thrive in a data science internship, and why are they important?

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

What are the most commonly searched types of Data Science jobs in Park Ridge, IL?

The most popular types of Data Science jobs in Park Ridge, IL are:

What job categories do people searching Data Science Internship jobs in Park Ridge, IL look for?

The top searched job categories for Data Science Internship jobs in Park Ridge, IL are:

What cities near Park Ridge, IL are hiring for Data Science Internship jobs?

Cities near Park Ridge, IL with the most Data Science Internship job openings:

Infographic showing various Data Science Internship job openings in Park Ridge, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $46,060 per year, or $22.1 per hour.

Quantitative Trading Internship - 2027

Dime Line Trading

Chicago, IL

Internship

Re-posted 13 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