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Data Mining Intern Jobs in Bolingbrook, IL (NOW HIRING)

IBM

Data Engineer Intern 2027

Chicago, IL

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Demonstrate familiarity or interest in statistical analysis or data mining through previous ...

IBM

Data Engineer Intern 2027

Chicago, IL · On-site

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Demonstrate familiarity or interest in statistical analysis or data mining through previous ...

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All JobsData Mining Intern JobsData Mining Intern Jobs in Bolingbrook, IL

Data Mining Intern information

See Bolingbrook, IL salary details

$8

$16

$24

How much do data mining intern jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data mining intern in Bolingbrook, IL is $16.85, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

What does a data mining intern do?

A Data Mining Intern assists in collecting, cleaning, and analyzing large sets of data to uncover useful patterns and insights. They work under the supervision of data scientists or analysts and often use programming languages like Python or R, as well as tools such as SQL and data visualization software. Their responsibilities may include preparing data for analysis, running experiments, and presenting findings to help inform business decisions. This internship provides hands-on experience in the field and helps interns develop technical and analytical skills.

What skills and qualifications are needed to be a data mining intern?

To thrive as a Data Mining Intern, you need foundational knowledge in statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in computer science or a related field. Familiarity with data mining tools like SQL, RapidMiner, or Weka, and experience with databases and data visualization platforms, is often required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret findings and present results clearly. These skills are vital for extracting actionable insights from data and contributing value to data-driven projects.

What types of projects can a data mining intern expect to work on?

As a Data Mining Intern, you can expect to work on projects involving large datasets, where your main tasks may include data cleaning, data exploration, and applying machine learning algorithms to uncover patterns or trends. Interns often collaborate closely with data scientists and analysts, contributing to real business problems such as customer segmentation, predictive analytics, or anomaly detection. You'll likely use tools like Python, R, and SQL, and get hands-on experience with data visualization and presentation of findings. This exposure helps build valuable technical and teamwork skills while offering insight into the practical challenges of working with real-world data.

What is the difference between Data Mining Intern vs Data Analyst Intern?

AspectData Mining InternData Analyst Intern
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Mathematics, or related fields
Work EnvironmentHands-on with data extraction, cleaning, and preliminary analysis, often using SQL, Python, or RFocuses on data interpretation, visualization, and reporting using tools like Excel, Tableau, or Power BI
Industry UsageCommon in tech, finance, and research sectors for data preparation tasksWidespread across various industries for business insights and decision-making

While both roles involve working with data, a Data Mining Intern primarily focuses on extracting and preparing data for analysis, whereas a Data Analyst Intern emphasizes interpreting data and creating reports. Understanding these differences helps in choosing the right internship based on your skills and career goals.

What are popular job titles related to Data Mining Intern jobs in Bolingbrook, IL?

For Data Mining Intern jobs in Bolingbrook, IL, the most frequently searched job titles are:

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

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

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

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

Data Mining Intern jobs near you
Infographic showing various Data Mining Intern job openings in Bolingbrook, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $35,040 per year, or $16.8 per hour.

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

Chicago, IL • On-site

The Hartford
Finance and Insurance • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

57th of 315 rated insurance

Good employer

Recommended by students

Paid breaks

Learn more about The Hartfordexternal

Full-time

Posted 5 days ago

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 inComputer 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:

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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

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

Social media

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What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

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