Data Science & Analytics Intern
About The Position
Valvoline Global is seeking a top-tier college student pursuing a Master’s degree to join its Data Science & Analytics team for a hands-on summer internship. This role offers the opportunity to work on a real, high-impact analytics project supporting one of Valvoline's strategic priorities — which may span pricing and commercial analytics, supply chain and operations, or customer and market insights — with direct visibility into how data shapes decisions at a global company. This is a hands-on, problem-solving role suited for candidates who enjoy working with real-world data, thrive with a degree of ambiguity, and want exposure to how a data science function operates inside a large, global organization.
Requirements
- Currently pursuing a Master’s degree in Data Science, Statistics, Computer Science, Analytics, or a related quantitative field
- Proficiency in Python or R and SQL, with exposure to data visualization tools (e.g., Tableau, Power BI)
- Solid foundation in statistics and machine learning concepts, with the ability to apply them to messy, real-world data
- Strong problem-solving and communication skills; comfort working with incomplete information and explaining technical findings clearly
- Must be able to work on-site at VGO’s Cincinnati, OH headquarters.
Nice To Haves
- Prior internship, coursework, or project experience in data analytics, data engineering, or business intelligence a plus
- Familiarity with SAP Datasphere and Databricks preferred
Responsibilities
- Scope and frame a real business problem in partnership with the Data Science & Analytics team, translating a business question into an analytical approach
- Collect, clean, and analyze data from multiple internal systems, ensuring quality and consistency before analysis
- Build and test models or statistical approaches (e.g., forecasting, segmentation, predictive modeling) appropriate to the project
- Design clear dashboards and visualizations that make complex findings easy for stakeholders to understand and act on
- Collaborate cross-functionally with pricing, commercial, supply chain, IT, and other teams to validate assumptions and refine your analysis
- Synthesize insights into clear, actionable recommendations for the business problem you're addressing
- Present findings and recommendations to Data & AI leadership and relevant business stakeholders
Benefits
- Paid on-site summer internship (up to 12 weeks) starting in May 2027
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What This Job Offers
Job Type
Full-time
Career Level
Intern
