Data Science Internship MS PhD 2026 - Optimization and Operations Research
About The Position
Shape the Future with Us. At Lubrizol, we’re transforming the Data Science and Statistics industry through science, sustainability, and a culture of inclusion. As part of our global team, you’ll be empowered to make a real impact—on your career, your community, and the world around you. How You'll Make an Impact The empowered and agile Data Science & Statistics team is charged with developing advanced analytics systems to tackle complex optimization challenges in supply chain and operations. In addition, the team provides data science consulting services to the Lubrizol technical community throughout the world. You'll collaborate with a diverse group of passionate individuals to deliver sustainable solutions to advance mobility, improve wellbeing and enhance modern life. Potential projects (depending on intern skills and current Lubrizol needs): Deploy algorithms and build predictive models to optimize inventory levels by analyzing demand patterns, downtime, and market dynamics Develop predictive models for demand forecasting by leveraging market drivers and analyzing complex data to uncover actionable insights Implement and assess algorithms in R and Python (SAS, JMP, or C#/C++, optional) Collaborate with the data science team, as well as demand planners, commercial and chemical engineers, to understand their needs and find creative solutions to meet those needs Research, develop, and operationalize new statistical, machine learning and/or optimization methods (PhD level) Previous intern projects include: Feature creation for seasonality drift in demand forecasting R/Shiny tool development to enable model predictions and formulation optimization Optimized order selection using simulation and reinforcement learning (PhD level)
Requirements
- Enrolled in a Master’s or PhD program such as data science, machine learning, operations research, supply chain management, industrial engineering, or chemical engineering
- Dual degree students (e.g., data science and industrial / chemical engineering, operations research, supply chain management, etc.) are encouraged to apply
- Significant coursework in optimization & predictive modeling
- Advanced programming skills and exposure to data query languages
- Interest and experience in advanced statistical and machine learning methodology (PhD level)
- Curiosity, creativity, initiative, and autonomy
Responsibilities
- Deploy algorithms and build predictive models to optimize inventory levels by analyzing demand patterns, downtime, and market dynamics
- Develop predictive models for demand forecasting by leveraging market drivers and analyzing complex data to uncover actionable insights
- Implement and assess algorithms in R and Python (SAS, JMP, or C#/C++, optional)
- Collaborate with the data science team, as well as demand planners, commercial and chemical engineers, to understand their needs and find creative solutions to meet those needs
- Research, develop, and operationalize new statistical, machine learning and/or optimization methods (PhD level)
Benefits
- Housing and relocation assistance for eligible students
- Competitive hourly wage with tenure-based raises
- Paid holidays within your work period
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What This Job Offers
Career Level
Intern
