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Intern Data Scientist Machine Learning Jobs in Naperville, IL

SageSure

Data Scientist

Chicago, IL · On-site

... Data Scientist to join our team ... In this role, you will combine geospatial analytics, statistical modeling, machine learning, and ...

Doist

Data Scientist

Chicago, IL · On-site

$140 - $190/hr

... Data Scientist to join our team ... In this role, you will combine geospatial analytics, statistical modeling, machine learning, and ...

New

AArete

Data Scientist

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows * Solid AI/ML background with practical ...

Munich Re

Data Scientist

Chicago, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Brookfield

Sr P&C Data Scientist

Chicago, IL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Senior P&C Data Scientist owns the development and improvement of analytical models and ... This role applies statistical, machine learning, and data analysis techniques to insurance data to ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

The Sr Data Scientist will design and implement machine learning and NLP solutions for a claims and incident mitigation analytics project. This role will help risk management teams identify high-risk ...

Marmon Holdings, Inc.

Data Scientist

Carol Stream, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Translate business requirements into analytical, machine learning, and GenAI / Agentic AI solutions, ensuring outputs are decision-ready, actionable, and accurate. * Integrate and analyze large ...

YO AI Labs

AI Data Scientist Expert - Remote

Chicago, IL · Remote

$100 - $200/hr

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

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All JobsIntern Data Scientist Machine Learning JobsIntern Data Scientist Machine Learning Jobs in Naperville, IL

Intern Data Scientist Machine Learning information

See Naperville, IL salary details

$25.5K

$42.5K

$87.9K

How much do intern data scientist machine learning jobs pay per year?

As of Aug 15, 2026, the average yearly pay for intern data scientist machine learning in Naperville, IL is $42,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $45,900.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Naperville, IL?

The most popular types of Data Scientist Machine Learning jobs in Naperville, IL are:

What are popular job titles related to Intern Data Scientist Machine Learning jobs in Naperville, IL?

For Intern Data Scientist Machine Learning jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Intern Data Scientist Machine Learning jobs in Naperville, IL look for?

The top searched job categories for Intern Data Scientist Machine Learning jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Intern Data Scientist Machine Learning jobs?

Cities near Naperville, IL with the most Intern Data Scientist Machine Learning job openings:

Intern Data Scientist Machine Learning jobs near you
Infographic showing various Intern Data Scientist Machine Learning job openings in Naperville, IL as of June 2026, with employment types broken down into 8% As Needed, 15% Full Time, 61% Part Time, 8% Temporary, and 8% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $42,520 per year, or $20.4 per hour.

Data Scientist

SageSure

Chicago, IL • On-site

Full-time

Posted 4 days ago

Job description

Overview:
If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join our team. In this role, you will combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges.
You will develop scalable analytical tools, leverage spatial, property, policy and claims data, automate complex workflows, and work within a cross-functional team - including Product Development, Underwriting, Cat Modeling, Data and Risk Management - to support profitable growth.
The ideal candidate enjoys solving difficult business problems through data science, thrives working with large and complex datasets, and has experience applying technologies alongside modern analytics and AI techniques.
What you'd be doing:
  • Deliver analytical insights that support business decisions as a member of a cross-functional team - including Product Development, Underwriting, Cat Modeling, Data and Risk Management.
  • Design and develop statistical, geospatial, and machine learning models that improve underwriting performance and portfolio management.
  • Analyze spatial, exposure, catastrophe, and loss data to identify trends, concentrations of risk, and business opportunities.
  • Execute predictive analytics, machine learning, and AI models that support pricing, underwriting, and operational efficiency.
  • Apply statistical techniques including regression, clustering, classification, time series analysis, and causal inference to solve business problems.
  • Support building software applications and analytical tools that automate underwriting and risk analysis.
  • Build reusable data pipelines and automate data collection, cleansing, transformation, to support underwriting, product development and risk management.
  • Design and maintain geospatial datasets using internal and third-party data sources.
  • Develop software applications and APIs that support underwriting analytics and business decision making.
  • Mentor junior team members and promote best practices for AI use within the department.
  • Perform other duties and special projects as assigned

We are looking for someone who has:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Geographic Information Systems (GIS), Engineering, Information Science, or a related quantitative discipline.
  • 5 to 7 years of experience in data science, analytics, software development, or geospatial analytics.
  • Experience with statistical modeling techniques and building predictive models using Python, SAS or R, and strong statistical modeling techniques
  • Experience developing solutions using SQL and relational databases.
  • Experience working with large structured and unstructured datasets.
  • Experience using GIS platforms such as ESRI ArcGIS, ArcGIS Pro, ArcObjects, or equivalent geospatial technologies.
  • Experience developing automated data processing and analytical workflows.
  • Experience building software applications or analytical tools that support business operations.
  • Strong problem-solving and communication skills

Highly preferred candidates also have:
  • Experience in Property & Casualty insurance.
  • Familiarity with catastrophe models and exposure management.
  • Experience with geospatial statistics and spatial modeling.
  • Experience with AI and Generative AI technologies.
  • Experience with C#, .NET, or software engineering principles.

About SageSure:
Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.
We have more than 1,000 employees in a distributed workforce environment across 12 offices-Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI-who are tackling the industry's toughest challenges.
SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.
Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you.
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