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

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Data Mining Intern information

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$8

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$24

How much do data mining intern jobs pay per hour?

As of Sep 2, 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.

Campus AI Research Engineer - Deep Learning (Intern)

Jump Trading

Chicago, IL • On-site

$300K/yr

Full-time, Internship

Re-posted 24 days ago

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.
We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including AI/ML expertise, engineering pragmatism, statistics, and market intuition.
What You'll Do:
  • Apply state-of-the-art techniques to complex and challenging domains.
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.
  • Optimize training pipelines to make the best use of our HPC resources.
  • Integrate ML models into production systems where latency matters.
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
  • Build large-scale ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research.
  • Other duties as assigned or needed.

Skills You'll Need:
  • Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
  • Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
  • Solid development skills in Python and/or C++
  • Familiarity with ML libraries/frameworks such as PyTorch, JAX, and/or TensorFlow
  • Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
  • Ability to thrive in a collaborative, team-oriented environment
  • Ability to reason through quantitative problems and communicate effectively with trading researchers
  • Reliable and predictable availability

Bonus Points:
  • Experience with HPC and distributed large model training
  • Experience with GPU performance optimization (CUDA or ROCm)
  • Experience with end-to-end model development
  • Strong opinions on best practices in ML research, tooling, and/or infrastructure

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.
The estimated base salary for this role (annualized) is $300,000 per year.

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