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Predictive Analytics Internship Jobs in Illinois

Build complex predictive models using Machine Learning and Deep Learning algorithms to ... Manage experience with data, including complex queries, exploratory data analysis, data ...

Build complex predictive models using Machine Learning and Deep Learning algorithms to ... Manage experience with data, including complex queries, exploratory data analysis, data ...

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Predictive Analytics Internship information

What types of projects can I expect to work on during a predictive analytics internship?

As a Predictive Analytics Intern, you can expect to work on projects that involve collecting, cleaning, and analyzing large datasets to identify trends and make forecasts. Typical responsibilities may include building statistical models, developing machine learning algorithms, and presenting actionable insights to business stakeholders. You will likely collaborate with data scientists, engineers, and business analysts, gaining hands-on experience with real-world data challenges in a supportive team environment. These projects not only help build technical skills but also provide exposure to how data-driven decisions are made in the organization.

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

To thrive as a Predictive Analytics Intern, you need strong quantitative skills, knowledge of statistics, and experience with data analysis, often supported by coursework in mathematics, computer science, or related fields. Familiarity with tools such as Python, R, SQL, and machine learning libraries, as well as experience using data visualization platforms like Tableau, is typically expected. Analytical thinking, attention to detail, and effective communication skills help interns present complex findings clearly and collaborate with team members. These abilities are critical for transforming data into actionable insights that drive decision-making in real business contexts.

What is the difference between Predictive Analytics Internship vs Data Analyst Internship?

AspectPredictive Analytics InternshipData Analyst Internship
Required SkillsStatistical modeling, programming (Python, R), data visualizationData cleaning, SQL, Excel, basic statistics
Work EnvironmentAnalytics teams, data science departmentsBusiness units, reporting teams
Industry UsageTech, finance, marketingRetail, healthcare, finance

Predictive Analytics Internships focus on building models to forecast future trends using statistical and machine learning techniques. Data Analyst Internships emphasize data cleaning, analysis, and reporting to support business decisions. Both roles require analytical skills, but predictive analytics internships often demand more advanced statistical knowledge and programming experience.

What is a predictive analytics internship?

A Predictive Analytics Internship is a temporary position, usually for students or recent graduates, that provides hands-on experience in analyzing data to forecast trends and outcomes. Interns work with datasets, statistical models, and machine learning tools to help organizations make data-driven decisions. The internship typically involves tasks like data cleaning, building predictive models, and interpreting results under the guidance of experienced analysts or data scientists. This role helps interns develop practical skills in analytics, programming, and business intelligence.

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

The most popular types of Predictive Analytics jobs in Illinois are:

What job categories do people searching Predictive Analytics Internship jobs in Illinois look for?

The top searched job categories for Predictive Analytics Internship jobs in Illinois are:

What cities in Illinois are hiring for Predictive Analytics Internship jobs?

Cities in Illinois with the most Predictive Analytics Internship job openings:

Infographic showing various Predictive Analytics Internship job openings in Illinois as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution.

Campus Quantitative Trader (Intern)

Jump Trading

Chicago, IL • On-site

Other

Re-posted 5 days ago


Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

About the Role:

The quant trading internship is an intensive 10-week program focused on enhancing your trading aptitude and understanding of financial markets, as well as helping you experience what it's like to be a full-time quant trader at Jump.

At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant trader, quant researcher, and quant developer. During our internship you will get training in all of these areas, with a focus in trading and financial markets. Topics include trading strategies and intuition, market mechanics, statistics, and our research process for signal generation.

You will have the opportunity to work with our trading teams on meaningful projects with real impact while receiving daily 1:1 mentorship from experienced quant traders, researchers, and developers. You will also participate in mock trading sessions, poker training, and other modules designed to improve probabilistic thinking, risk-taking, and trader mindset.

Other duties as assigned or needed.

Who Should Apply?

We are seeking the sharpest analytical minds from top undergraduate and graduate programs.

Ideal candidates will have:

  • Outstanding skills in probabilistic thinking and mathematical reasoning
  • Competitive spirit and uncommon drive to learn and improve
  • Programming experience
  • Appetite for risk-taking
  • Demonstrated interest in financial markets

Reliable and predictable availability required.

INTERNATIONAL STUDENTS are encouraged to apply.