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 2 to August 8, 2025.

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 experiences 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 in order to influence execution of recommendation.
● Pursing 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 Prescriptive Modeling like Machine Learning, Deep Learning, Recommendation, Search, or NLP.
● Proficiency in Python or R.
● Strong knowledge in SQL.
● Proficient utilizing statistical techniques to identify key insights that help solve business problems.

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 lead 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 and 401k with match start date of hire, paid time off and parental bonding time, tuition reimbursement, annual Profit-Sharing Program and much more! Learn more here.

Veritiv Corporation, headquartered in Atlanta, Veritiv is a leading provider of design-to-delivery packaging, print, and facility solutions. With a diverse team and global reach, we’re helping businesses cut costs, reduce waste, and improve efficiencies that make doing business easier. For more information, visit www.veritiv.com and connect with the Company on LinkedIn.

Veritiv is an Equal Opportunity/Affirmative Action employer.
EEO Policy US | EEO Policy Mexico
This description does not attempt to define the job's essential functions as defined by applicable disabilities law.