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Data Science Internship Jobs in Evanston, IL (NOW HIRING)

MessageControl

Data Scientist

Chicago, IL · On-site

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.

MessageControl

Data Scientist

Chicago, IL

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.

UL Solutions

Associate Data Scientist

Northbrook, IL · On-site

$60K - $60K/yr

... science roles * Experience through internships, academic projects, or professional work involving data analysis and reporting * Working knowledge of SQL and Python * Experience with Power BI, Excel ...

UL Solutions

Associate Data Scientist

Northbrook, IL

$62K - $83K/yr

... science roles * Experience through internships, academic projects, or professional work involving data analysis and reporting * Working knowledge of SQL and Python * Experience with Power BI, Excel ...

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How much do data science internship jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data science internship in Evanston, IL is $21.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.51 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.

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Data Science Internship jobs near you
Infographic showing various Data Science Internship job openings in Evanston, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $44,921 per year, or $21.6 per hour.

Quantitative Trading Internship - 2027

Dime Line Trading

Chicago, IL • On-site

Internship

Re-posted 15 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