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Data Science Intern Jobs in Elgin, IL (NOW HIRING)

Bachelors in data science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. * Master's degree preferred * 3 to 5 plus years of experience in data science ...

New

Bachelors in data science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. * Master's degree preferred * 3 to 5 plus years of experience in data science ...

New

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 into raw, noisy datasets to clean, structure, and prepare them for analysis. You'll run exploratory ...

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Master's degree in Data Science, Data Analytics, Computer Science, or related field * 3-5 years of experience in data analytics or data science roles * Strong proficiency in SQL, Python, and R

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Master's degree in Data Science, Data Analytics, Computer Science, or related field * 3-5 years of experience in data analytics or data science roles * Strong proficiency in SQL, Python, and R

Principal Associate, Data Scientist

Chicago, IL · On-site

$60K - $61K/yr

Team Description The Card Payment Fraud Prevention data science team detects and mitigates first-party fraud by building and deploying machine learning models that keep customer accounts safe and ...

The Role Green Thumb Industries is building a data science function that powers real operational decisions - demand forecasting that drives inventory positioning, analytics science that surfaces what ...

The Kemper Claims Data Science team has an immediate opening for a Data Scientist to make lasting impact through building and deploying predictive models and applied LLM-based solutions. Candidates ...

Showing results 41-60

Data Science Intern information

See Elgin, IL salary details

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How much do data science intern jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data science intern in Elgin, IL is $22.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
What are the most commonly searched types of Data Science jobs in Elgin, IL? The most popular types of Data Science jobs in Elgin, IL are:
What are popular job titles related to Data Science Intern jobs in Elgin, IL? For Data Science Intern jobs in Elgin, IL, the most frequently searched job titles are:
What job categories do people searching Data Science Intern jobs in Elgin, IL look for? The top searched job categories for Data Science Intern jobs in Elgin, IL are:
What cities near Elgin, IL are hiring for Data Science Intern jobs? Cities near Elgin, IL with the most Data Science Intern job openings:
Infographic showing various Data Science Intern job openings in Elgin, 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,271 per year, or $22.2 per hour.

Data Scientist

AAR

Wood Dale, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


AAR Corp rating

7.8

Company rating: 7.8 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

23rd of 65 rated aviation services


Job description

Description
The AAR Parts Supply Distribution Analytics Team are developing an AI-driven aviation market intelligence tool designed to transform how aviation parts distribution businesses understand market share, identify growth opportunities, and make strategic decisions. This platform combines advanced analytics, machine learning, agentic AI, and intuitive user experience to provide real-time insights into customers, parts, and markets.
The Data Scientist will define, build, and continuously improve the analytical and machine learning models that power the platforms core decision-making capabilities. This role translates complex business problems into scalable, production-ready models that drive market sizing, forecasting, and opportunity identification. The Data Scientist partners closely with product, engineering, and data teams to ensure models are accurate, explainable, and embedded into real-world workflows. Success in this role requires strong technical depth, business intuition, and the ability to operate in ambiguous, data-rich environments.
This position is based at our Corporate Headquarters in Wood Dale, IL, with a planned relocation to the Merchandise Mart (Chicago) in early 2027.
What you will be responsible for:
  • Design, develop, and own scalable analytical and machine learning models for market sizing, forecasting, opportunity identification, and optimization use cases.
  • Translate ambiguous business problems into structured modeling approaches, including feature engineering, model selection, and evaluation frameworks.
  • Design and analyze experiments, statistical tests, and validation methods to measure model quality and business impact.
  • Deploy and integrate models into production systems in collaboration with data engineering and backend teams, ensuring reliability, scalability, and performance.
  • Work with large, complex, and imperfect datasets; define data requirements and support robust preprocessing and feature pipelines.
  • Ensure model outputs are explainable, interpretable, and aligned with business logic to support user trust and adoption.
  • Monitor, validate, and improve model performance through testing, retraining, versioning, and feedback loops.
  • Partners with product teams to define analytical features, influence roadmap decisions, and embed model-driven insights into decision-making workflows.

Qualifications
What you need to be successful in this role:
  • Strong foundation in statistics, machine learning, and predictive modeling, including regression, classification, clustering, time series, and experiment design e.g., AB testing.
  • Proficiency in Python and SQL, with experience using common ML libraries such as scikit-learn, pandas, and numpy.
  • Experience building end-to-end ML workflows, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
  • Familiarity with production ML practices, including model versioning, performance optimization, retraining, and monitoring for drift or degradation.
  • Experience working with large-scale or complex datasets, including handling missing data, inconsistencies, and real-world data limitations.
  • Ability to communicate model logic, assumptions, and outputs clearly to non-technical stakeholders and cross-functional partners.
  • Experience collaborating with product managers, data engineers, and software engineers to deliver analytical features in production environments.
  • Strong problem-solving skills and the ability to operate effectively in ambiguous environments with evolving requirements.
  • Bachelors in data science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field.
  • Master's degree preferred
  • 3 to 5 plus years of experience in data science, machine learning, or advanced analytics roles in a product or business-driven environment.
  • Demonstrated experience developing, deploying, and improving predictive models that drive business decision-making.
  • Experience working on analytics or ML-driven products such as forecasting, optimization, recommendation systems, or market intelligence tools.
  • Experience in designing experiments or statistical validation approaches to evaluate model performance and business outcomes is preferred.
  • Experience with cloud platforms or distributed data processing such as AWS, Azure, or Spark is preferred but not required.
  • Experience in aviation, supply chain, or related industries is a plus but not required.

The rewards of your career at AAR go far beyond just your salary:
  • Competitive salary and bonus package
  • Comprehensive benefits package including medical, dental, and vision coverage.
  • 401(k) retirement plan with company match
  • Generous paid time off program
  • Professional development and career advancement opportunities

Physical Demands/Work Environment:
The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• While performing the duties of this job, the employee may be regularly required to sit, stand, bend, reach and move about the facility.
• The environmental characteristic for this position is an office setting.
• Candidates should be able to adapt to a traditional business environment.
AAR provides accommodation in accordance with applicable laws through all stages of the hiring process. If you require accommodation for any part of the application and/or hiring process, please advise Human Resources.
Compensation:
The anticipated salary range for this position is $115,000 to $130,000 annually. This range reflects the base salary for candidates who meet the requirements of the role, including experience, education, and location. In addition to base pay, this role is eligible for a bonus. AAR offers a competitive benefits package, including medical/dental/vision/life/and AD&D insurance, 401(k) savings plan with employer match, paid time off and holiday pay, as well as opportunities for professional development and growth.
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