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Data Mining Intern Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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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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 ...

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 ...

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 ...

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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Data Mining Intern information

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$8

$17

$24

How much do data mining intern jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data mining intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 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.

More about Data Mining Intern jobs

What cities are hiring for Data Mining Intern jobs?

Cities with the most Data Mining Intern job openings:

What are the most commonly searched types of Data Mining jobs?

The most popular types of Data Mining jobs are:

What states have the most Data Mining Intern jobs?

States with the most job openings for Data Mining Intern jobs include:

Infographic showing various Data Mining Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Data Engineer Intern 2027

IBM

Chicago, IL • On-site

Full-time, Internship

Posted 5 days ago


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

123rd of 245 rated software companies


Job description

Introduction
Launch your career like an IBMer
Every IBMer has a story. For many, it started with an internship.
As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like an IBMer. From day one, you'll contribute to real client projects across diverse industries, working alongside experienced IBMers who are invested in your success. You'll be challenged, supported, and inspired, often all in the same day. You'll develop technical expertise and consulting skills in a culture built on continuous learning, mentorship, and coaching. High-performing interns have a clear pathway into IBM's Associate Program, launching careers at one of the world's most innovative technology and consulting companies.
To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly - it's the best way to get a centralized view of which roles you have active applications against.
Your role and responsibilities
During your internship, you can enhance your knowledge and gain professional experience by working on client projects. This role provides an exceptional opportunity to build a compelling portfolio, acquire new skills, gain insights into diverse industries, and embrace novel challenges for your future career.
At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you'll experience this culture and could advance to our full-time Associates program based on results and performance.
Work experiences you could be exposed to:
  • Mentored Analytical Support: Receive mentorship from diverse professionals in science, engineering, and consulting, applying analytical rigor and statistical methods to predict behaviors.
  • Data Integrations: Develop skills in writing efficient and reusable programs to cleanse, integrate, and model data. Evaluate model results contributing to data-driven insights.
  • Effective Communication: Assisting in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings.
  • Tech-Driven Data Transformer: Utilize program languages like Python to build data pipelines, extracting and transforming data from repositories to consumers. Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit.

Required education
High School Diploma/GED
Preferred education
Bachelor's Degree
Required technical and professional expertise
  • Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (Preferred majors include Data Science, Data Engineering, MIS, Business Analytics, Computer Engineering, Computer Science, Statistics, Mathematics, Engineering, Systems Engineering, Industrial Engineering, or a related field.
  • Strong interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment.
  • Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints.
  • Demonstrate leadership experience and ability to communicate effectively through active listening, while also being willing to adapt and have a readiness to take ownership of tasks and challenges.
  • Familiarity with one or more scripting languages (Python preferred), or a proven computer science foundation.
  • Willingness to travel as needed.

Preferred technical and professional experience
  • Demonstrate familiarity or interest in statistical analysis or data mining through previous internships, personal/academic projects, hackathons, and/or publications.
  • General familiarity with databases, data-engineering tools (SQL, Spark) and cloud platforms (e.g., IBM Cloud, Azure, AWS). Experience with NLP/LLM/GenAI is a plus.
  • Exposure to programming languages (e.g., JavaScript, SQL, Python) and basic understanding of Hybrid Cloud (IBM Cloud, AWS, Azure, Snowflake, Databricks,etc) and AI concepts.

ABOUT BUSINESS UNIT
IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role.
We consider qualified applicants with criminal histories, consistent with applicable law.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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