Data Science Intern

Veritiv’s Internship Program will provide real world experience, team projects, social events, volunteer work and professional development trainings. The internships are full-time, hybrid and run June 1 to August 7, 2026.

Job Purpose:

Our Data Science Intern will be responsible for working on data science projects that drive strategic business objectives. This role utilizes industry-leading analytical methodologies to manage large datasets, extract meaningful insights, and creatively solve business problems. Depending on the specific project, the intern may work in domains such as classification, recommendation, search, NLP, or GenAI.

The intern will be an integral part of the Data Analytics team, a group of talented strategy analysts, market research analysts, business analysts, data analysts and data scientists. This team supports the analytics and reporting needs across various commercial excellence functions including Marketing, Digital Commerce, Sales, Customer Experience (CX), Product Management, Corporate Strategy, Finance, and Pricing.

Job Responsibilities:

● Collaborate with multiple internal customers on projects and presentations.
● Identify opportunities to streamline process improvements.
● Take ownership of a project and then assist other team members to support company initiatives.

Additional Responsibilities & Qualifications:

• 80% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Use predictive modeling to increase and optimize customer experience and revenue.
• 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner to influence execution of recommendation.

• Pursuing a Masters in a quantitative field (Computer Science, Math, Statistics, etc.) is strongly preferred.
• 1- 2 years of experience in computer science or data science modeling
• Knowledgeable in Machine Learning, Deep Learning, Recommendation systems, Search Algorithms, Natural Language Processing (NLP), and Generative AI.
• Proficiency in Python and associated analytics and ML libraries.
• Strong knowledge in SQL.
• Proficient utilizing statistical techniques to identify key insights that help solve business problems.
• Knowledge in version control systems (e.g., Git) and cloud platforms (e.g., Azure) is a plus
• Background in presenting complex information to large groups to facilitate strategic business decisions.

Work Experience:

● Ability to manage multiple projects, work under pressure, and adapt to sudden changes in the work environment.● Ability to work in a team environment.● Ability to work quickly and efficiently.● Excellent verbal, written, people, and diplomacy skills are required.● Must be highly motivated, flexible and deadline driven.● Proficient with Microsoft Office Suite.● Strong planning and organization skills are required.● Strong problem-solving and attention to detail skills are required.● The ability to communicate with all levels of the organization.

Education:

● Bachelor's Degree In Progress

What We Offer

• Engaging and inclusive culture with employee-led Employee Resource Groups, Veritiv Cultural Alliance, recognition platform, etc.
• Extensive training opportunities, professional development programs, career pathing, and mentorship opportunities.
• Collaborative atmosphere with our customers and suppliers to create healthier, safer and more sustainable communities through our responsible operations and innovative solutions.
• Healthcare benefits, 401k, paid time off and tuition reimbursement.

About Veritiv

Together with its subsidiaries, Veritiv is the leading full-service provider of packaging solutions. Veritiv also provides JanSan, hygiene, print and publishing products and services. Veritiv serves customers in a wide range of industries, through team members around the world helping shape the success of its customers. For more information, visit www.veritiv.com and connect with the Company on LinkedIn.