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Intern Data Science Insurance Jobs in Bolingbrook, IL

Crowe LLP

Machine Learning Intern

Oakbrook Terrace, IL · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Crowe LLP

Machine Learning Intern

Chicago, IL · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Crowe LLP

Machine Learning Intern

Chicago, IL · On-site

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Dlapiper

Data Scientist

Chicago, IL · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance ...

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... DJEH offers a wide range of benefits: medical and dental insurance, vision, 401K, life insurance ...

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... DJEH offers a wide range of benefits: medical and dental insurance, vision, 401K, life insurance ...

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All JobsIntern Data Science Insurance JobsIntern Data Science Insurance Jobs in Bolingbrook, IL

Intern Data Science Insurance information

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How much do intern data science insurance jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for intern data science insurance in Bolingbrook, 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 does an intern data science insurance do?

An Intern Data Science Insurance assists data scientists and analysts in the insurance industry by collecting, cleaning, and analyzing data to help solve business problems. Their tasks often include working with large datasets, building predictive models, and creating visualizations to support risk assessment, fraud detection, and pricing strategies. They also collaborate with other departments to understand insurance processes and contribute to the development of data-driven solutions. This role offers hands-on experience with industry tools and methodologies, preparing interns for a career in data science within the insurance sector.

What types of projects can an intern data science expect to work on within the insurance industry?

As a Data Science Intern in the insurance sector, you can expect to work on projects such as analyzing customer data to identify risk factors, developing predictive models for claims, or assisting in the automation of underwriting processes. These projects often involve collaboration with actuarial, underwriting, and IT teams, providing interns with exposure to different facets of the business. You'll likely use tools like Python, R, and SQL while working with real datasets, and your contributions may directly impact decision-making and operational efficiency. This hands-on experience is valuable for understanding the practical applications of data science in a highly regulated and data-driven industry.

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

To thrive as an Intern Data Science in Insurance, you need foundational knowledge in statistics, data analysis, and programming (often with Python or R), typically supported by coursework in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is often expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting actionable insights from complex insurance data and supporting data-driven decision-making within the industry.

What are the most commonly searched types of Data Science Insurance jobs in Bolingbrook, IL?

The most popular types of Data Science Insurance jobs in Bolingbrook, IL are:

What job categories do people searching Intern Data Science Insurance jobs in Bolingbrook, IL look for?

The top searched job categories for Intern Data Science Insurance jobs in Bolingbrook, IL are:

What cities near Bolingbrook, IL are hiring for Intern Data Science Insurance jobs?

Cities near Bolingbrook, IL with the most Intern Data Science Insurance job openings:

Intern Data Science Insurance jobs near you
Infographic showing various Intern Data Science Insurance job openings in Bolingbrook, IL as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 2% Temporary, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $46,287 per year, or $22.3 per hour.

Tech & Data Program Summer 2027 - Data Engineer Intern (Chicago)

The Hartford Financial Services Group, Inc.

Chicago, IL • On-site

Full-time

Posted 12 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

58th of 315 rated insurance

Job description

Student Intern - HHSIAN
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Tech & Data Program Summer 2027 - Data Engineer Intern
Program Overview
At The Hartford, we foster an inclusive and collaborative environment where every voice is valued and every idea can make an impact. Our culture is built on integrity, innovation, and a customer-first mindset. We believe in empowering employees to grow through continuous learning, mentorship, meaningful work, and opportunities to contribute to solutions that support our customers and business.
As a Data Engineer Intern, you will help build and support the data pipelines, platforms, and processes that enable analytics, reporting, automation, and AI-driven insights across the organization. This role is ideal for students who are interested in building the systems behind the data - transforming raw information into reliable, usable data assets that help teams make better decisions.
Bring your curiosity, technical mindset, and willingness to learn. Your voice and perspective matter here.
About the Experience
The Hartford's Technology, Data, AI, and Operations organization offers an immersive summer internship program designed to help students explore career paths in technology, data engineering, cybersecurity, AI, analytics, data science, and technology operations within the insurance industry.
As part of The Hartford's growing investment in AI and advanced analytics, interns will explore how emerging technologies - including generative AI, machine learning, and automation - are transforming business operations, decision-making, and customer experience.
In this role, you will gain hands-on experience supporting data solutions that help power business insights, analytics products, and future AI capabilities.
This role is a hybrid position in Chicago, IL. Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
What You'll Gain
  • Hands-on experience designing, building, and supporting data pipelines and data workflows
  • Exposure to modern data engineering practices, including ETL/ELT, data transformation, data quality, and cloud-based data platforms
  • Opportunities to work with tools and technologies such as Python, SQL, PL/SQL, Snowflake, GitHub, and cloud platforms
  • Exposure to how data engineering enables analytics, reporting, automation, machine learning, and AI use cases
  • Mentorship, coaching, feedback, and self-directed learning opportunities
  • Networking, volunteerism, and employee engagement experiences with peers and leaders across the organization
  • A stronger understanding of how data supports decision-making within the insurance industry

Ways You'll Learn, Grow, and Contribute
Depending on your role and project assignments, your experience may include:
  • Build and support data pipelines that ingest, transform, and prepare data for business and analytical use
  • Work with structured and unstructured data to enable analytics, reporting, and AI-driven solutions
  • Apply data engineering tools and techniques (e.g., Python, SQL, ETL processes, cloud technologies) to develop reliable data assets
  • Ensure data quality, consistency, and performance through profiling, validation, and monitoring activities
  • Collaborate with cross-functional teams to deliver scalable data solutions that address business needs
  • Leverage AI tools (e.g., Copilot) to enhance productivity and support the development of data solutions that power advanced analytics and machine learning

Required Qualifications
  • Undergraduate or graduate student expecting to graduate in May 2028 with a Bachelor's or Master's degree and a GPA of 3.0 or higher
  • Pursuing a degree in Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, or another STEM-related field
  • Strong analytical, problem-solving, and critical thinking skills
  • Strong communication, collaboration, and interpersonal skills
  • Curiosity and willingness to explore new technologies and challenge assumptions
  • Demonstrated ability to analyze complex problems using structured thinking and logical reasoning
  • Commitment to ethical judgment, responsible data use, and understanding how technology decisions affect stakeholders and the business

Experience and exposure to some or all of the following:
  • Programming & Querying: Python, SQL, PL/SQL
  • Data Engineering: ETL/ELT, data pipelines, data transformation, data profiling, data quality, data modeling
  • Data Platforms & Tools: Snowflake, GitHub, relational databases, data warehouse concepts
  • Cloud Technologies: AWS, Azure, or Google Cloud
  • Analytics & BI: Tableau, dashboards, reporting, data mining, or business intelligence tools
  • AI & Emerging Technology: Familiarity with AI/ML concepts, generative AI tools, LLMs, NLP, or interest in building data foundations that support AI-driven solutions
  • Agile Ways of Working: Exposure to Agile teams, sprint delivery, or collaborative product-based work

Our internship program is designed as a pipeline for future full-time opportunities. High-performing interns may be considered for full-time roles within The Hartford's Technology & Data organization.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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