2027 R&D Product Systems Internship

About the Role

This is a comprehensive 12-week learning experience in the Performance Coatings Group R&D Division, starting in May 2027. The position is 100% on-site at the Sherwin-Williams Global Headquarters in downtown Cleveland, Ohio. Interns will be assigned a mentor and a Technical Project, which they will present at the end of their assignment. Interns will be active participants on a project team with periodic performance reviews. The program includes special networking and learning events, and opportunities to gain experience working in groups and with other Interns and Co-ops.

Key Responsibilities

• Collaborate closely with Data Analysts of the PCG Product Systems Data Group to use data science for developing data reports and dashboards.
• Contribute to digital initiatives and data visualization projects supporting R&D functions.
• Track data trends and key metrics by collaborating with Analysts and using key PCG tools.
• Be assigned Technical Projects requiring the application of data science and data analytics skills.
• Present a summary of projects at the conclusion of the internship.
• Participate in special networking and learning events.
• Gain experience in work groups and working with other Interns and Co-ops.

Requirements & Tech Stack

• Must be currently enrolled in a Bachelor’s Degree program or higher in Science, Technology, Engineering or Mathematics (STEM) at the time of the internship program.
• Experience in Python, SQL, and Data Visualization Tools such as Tableau.
• Understanding of statistical modeling, data wrangling, data cleaning, and data transformation.
• Must be at least eighteen (18) years of age.
• Must be legally authorized to work in the country of employment without needing sponsorship for employment work visa status now or in the future.
• Willing to work up to 40 hours per week for a total of 12 weeks, from May-August 2027, with or without reasonable accommodation.
• Minimum of 2.8 GPA.

Preferred Qualifications

• Previously completed an internship or co-op program.
• Pursuing a bachelor's in data science or a master's degree in data science.