Fast Facts
Join OCLC as a Data Science Summer Intern where you'll evaluate large data sets and develop machine learning models while collaborating closely with data engineering teams in a supportive, hybrid work environment.
Responsibilities: Evaluate large datasets for patterns, develop supervised and unsupervised machine learning models, and support data visualization and presentation of results.
Skills: Experience with Python and Pyspark, familiarity with cloud ML solutions, and knowledge of data visualization platforms such as Tableau or PowerBI, along with statistical methods and SQL.
Qualifications: Candidates must be current students with relevant academic training in data science and statistical methods; knowledge of bibliographic data structures is a plus.
Location: Corporate Office - Dublin, United States of America
Compensation: Not provided by employer. Typical compensation ranges for this position are between $15 - $30.
Together we make breakthroughs possible.
At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You’ll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.
Why join OCLC?
OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions—performance, experience, and skills—along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.
- We know the best ideas don’t always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We’re committed to your success—both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.
- Free use of our on-site fitness center, gym sports, group exercise classes, and game room
- Onsite catering and cafeteria subsidized by OCLC
- Health and wellness events
- Work environments with individual and team spaces and the latest technology tools
- Paid parental leave and adoption assistance
- Tuition reimbursement and Public Service Loan Forgiveness eligibility
- Company-subsidized pricing on local tickets and memberships
Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.
The job details are as follows:
This internship is anything but ordinary. If that’s what you’re looking for, keep reading. We are seeking a Data Science Intern for our internship program. Dates for the internship will be from May 18, 2026, to August 14, 2026, working full time during the summer. This role offers a hybrid work environment with three days in-office at our headquarters in Dublin, Ohio.
Responsibilities:
- Evaluating huge sets of data to find patterns, modelbehaviorsandelevatevisibility. This data includes billions of pieces of bibliographic metadata, application metrics, and transaction histories
- Supervised and unsupervised machine learning model development
- Support the visualization and presentation of results that come from data analysis and model creation
- Partnering closely with our Data Engineering teams to ensure quality data pipelines are built to make data available for data science use
Requirements:
- Candidates mustbe currentlyenrolled as students at the time of the internship.
- Experience coding in Python and Pyspark
- Familiarity and comfort working with cloud ML solutions
- Familiarity with any data visualization platform, such as Tableau orPowerBI
- Experience writing SQL queries against relational databases
- Academic training in statistical methods such as t-tests and linear regression
- Comfort working with unstructured and semi-structured data in Spark
- Knowledge of bibliographic data structures or library systems a huge plus
- Self-confidence and ability to work without day-to-day instruction. You will need to take a problem and own it, engaging experts in the organization as you need them toassist
Our Interns will also be invited toparticipateinadditionallearning opportunities throughout the Summer including "Lunch & Learn" events with executive leadership, volunteer opportunities to give back to local community, and other Intern-only events.
Working Conditions: Normal office environment.
ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.
