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Data Science Fall Internship Jobs in Chicago, IL

Caterpillar

Data Science/Analyst

Chicago, IL · On-site

Launch your data science or technical analyst career by building AI and analytics solutions that ... Experience through internships, personal projects, research, hackathons, student organizations, or ...

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.

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.

DePaul

Adjunct Faculty in Data Science

Chicago, IL · On-site

Adjunct Faculty in Data Science Full-time Faculty Positions Full-time faculty positions will be ... Classes in the Fall and Spring semesters are 16 weeks in length (including finals week) and it ...

Tavern Research

Data Scientist I

Chicago, IL · On-site

$95K - $113K/yr

As a member of the Data Science team, your role is to help make this work possible. You'll dive ... internships, research, or production data work. * Bonus: exposure to model deployment, large ...

Vizient, Inc.

Lead Data Scientist

Chicago, IL · On-site

You will design scalable data science products, translate sophisticated analytical findings into ... Geographic factors may adjust the range estimate and hires typically fall below the top range.

Vizient

Lead Data Scientist

Chicago, IL · On-site

You will design scalable data science products, translate sophisticated analytical findings into ... Geographic factors may adjust the range estimate and hires typically fall below the top range.

Benchmark Analytics

Data Analyst Lead

Chicago, IL · On-site

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Summer Half-Day Fridays. * Freed Up Fridays during Spring, Fall, and Winter months to promote ...

Benchmark Solutions LLC

Data Analyst Lead

Chicago, IL · Remote

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Summer Half-Day Fridays. * Freed Up Fridays during Spring, Fall, and Winter months to promote ...

Benchmark Analytics

Data Analyst Lead

Chicago, IL · On-site

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Summer Half-Day Fridays. * Freed Up Fridays during Spring, Fall, and Winter months to promote ...

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All JobsData Science Fall JobsData Science Fall Internship JobsData Science Fall Internship Jobs in Chicago, IL

Data Science Fall Internship information

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How much do data science fall internship jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data science fall internship in Chicago, IL is $23.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.24 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science Fall Internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

What are the key skills and qualifications needed to thrive as a Data Science Fall Intern, and why are they important?

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is a Data Science Fall Internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Chicago, IL? For Data Science Fall Internship jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Science Fall Internship jobs in Chicago, IL look for? The top searched job categories for Data Science Fall Internship jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Science Fall Internship jobs? Cities near Chicago, IL with the most Data Science Fall Internship job openings:
Data Science Fall Internship jobs near you
Infographic showing various Data Science Fall Internship job openings in Chicago, IL as of July 2026, with employment types broken down into 11% Internship, 58% Full Time, 22% Part Time, 7% Temporary, and 2% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $48,220 per year, or $23.2 per hour.
Data Science/Analyst

Data Science/Analyst

Caterpillar

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

224th of 430 rated machine equipment manufacturers

Job description

Career Area:
Marketing, Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Launch your data science or technical analyst career by building AI and analytics solutions that help Caterpillar customers manage fleets, predict equipment failures, and optimize operations around the world. You'll work with machine learning, Generative AI, IoT data, and advanced analytics while partnering with experienced engineers and data scientists.
Cat Digital is the digital and technology focused organization within Caterpillar, Inc. Our global team is responsible for bringing digital capabilities to Caterpillar's world-famous yellow iron. Working with your yellow partners and Cat Dealers, we execute key components of digital and marketing portfolios, including global marketing & brand, connectivity, enterprise data, analytics and AI, equipment management, eCommerce, digital marketing, rental & used digital solutions, and aftermarket leads & insights.
Depending on team placement, you may focus on machine learning, AI, data analytics, digital product support, telematics, digital product development, business intelligence or business insights.
What You Will Do
As a data scientist / technical analyst you may:
  • Develop models to power asset management solutions for customers and dealers using machine learning, deep learning, and statistics-based/physics-based analytics techniques on time-series sensor data, machine fault codes, inspections and analysis records to identify health anomalies, predict equipment failure modes, estimate remaining useful life, and build equipment risk models

  • Evaluating emerging technologies by evaluating new product services and technology platforms

  • Utilize Generative AI to develop and implement solutions, encompassing model training, evaluation, and selection. Engage in Prompt Engineering by fine-tuning AI models, developing new models, creating agents, assistants, and chatbots

  • Ensure long-term connectivity through strategic planning and execution, including global telematics device programs. This involves testing, research, and analysis of cellular, satellite, Wi-Fi, Bluetooth, and other on-board and off-board technologies

  • Provide digital technical support for essential Caterpillar digital applications and products

Technologies you may use include, but are not limited to: Python, SQL, Machine Learning, Generative AI, Cloud Platforms, Data Visualization Tools, IoT & Telematics Data, Statistical Modeling
What You Will Have - Skills and Experiences
  • Business Statistics: knowledge of statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions

  • Accuracy and Attention to Detail: understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision

  • Analytical Thinking: knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems

  • Machine Learning: knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services

  • Programming Languages: knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages

  • Query and Database Access Tools: knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use

  • Requirements Analysis: knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required businessfunctionality and non-functionality requirements to ensure the success of a system or software development project

Top Candidates May Have:
  • Bachelor's degree or higher in data science, computer engineering, electrical engineering or related degree (selected candidates must complete their degree by their start date)

  • 0-2 years of relevant experience related to this field (internships or academic projects are a plus)

  • Minimum cumulative GPA requirement 3.0/ 4.0 (no rounding)

  • Experience through internships, personal projects, research, hackathons, student organizations, or coursework is highly valued

Additional Information
  • Locations for this position are typically Chicago and Peoria Illinois. Limited opportunities in Dallas, Texas

  • Basic relocation may be available, depending on relocation qualifications

  • Sponsorship now or in the future is NOT available for this position

Summary Pay Range:
$89,210.00 - $144,960.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
July 2, 2026 - July 17, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.

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