Data Science Summer Intern

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, model behaviors and elevate visibility. 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 must be currently enrolled 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 or PowerBI

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 to assist

Our Interns will also be invited to participate in additional learning 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.