Header: About Lubrizol

The Lubrizol Corporation, a Berkshire Hathaway company, is a specialty chemical company whose science delivers sustainable solutions to advance mobility, improve wellbeing and enhance modern life. Founded in 1928, Lubrizol owns and operates more than 100 manufacturing facilities, sales, and technical offices around the world and has about 8,000 employees. For more information, visit www.Lubrizol.com.

We value diversity in professional backgrounds and life experiences. By enabling a consistent, unbiased, and transparent recruitment process, Lubrizol seeks to create a positive experience for candidates so we can get to know them at their best. We recognize unique work and life situations and offer flexibility, ensuring our employees feel engaged and fulfilled in every aspect of life.

Join Our Thriving Team at Lubrizol as a Data Scientist/Statistician Intern (PhD level)

Unleash Your Potential. At Lubrizol we're transforming the chemical industry and looking for exceptional talent to join us on this journey. If you are ready to join an international company with talent around the world, and want to make a real impact, we want you on our team.

What You'll Do:

• Create predictive models by mining complex data for critical formulating or testing insights
• Implement and assess algorithms in R and Python (SAS, JMP, or C#/C++, optional)
• Research, develop, and operationalize new statistical, machine learning and/or optimization methods
• Implement and improve forecasting algorithms
• Investigate applications of Cheminformatics modelling
• Investigate active learning for process optimization
• scheduling and inventory optimization
• accelerate process and product development cycle using emerging AI methods (such as LLM, RAG, Agentic AI)

• Predictive modeling using Bayesian and machine learning methods
• R/Shiny tool development to enable model predictions and formulation optimization
• Creation of an interactive visualization tool for monitoring predictive models
• Development of a bootstrap procedure for a hypothesis test
• Multitask learning (transfer learning) using co-regionalized Gaussian Processes
• Multivariate variable selection approach using Variational Bayes
• Multi-objective optimization using genetic algorithms
• Survival modeling using bagged Cox proportional hazards regression trees
• Bootstrap variance estimation for complex nonlinear models

What We're Looking For:

Requirements:

• Enrolled in a PhD program such as statistics, data science, machine learning, or in chemistry/chemical engineering with data science skills
• Dual degree students (e.g., statistics/data science and chemistry, chemical engineering, computational chemistry, etc.) are encouraged to apply

Skills That Make a Difference:

Our projects can be tailored to each intern’s individual skills and interests, so candidates who are a good match for some of the skills listed are encouraged to apply, even if they don’t match every single one.

• Significant coursework in one or more out of:
  • Predictive modeling
  • Bayesian approaches
  • Optimization
• Able to efficiently manipulate, process, and analyse data of various modalities, including numerical, image, text, and beyond
• 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

Perks and Rewards That Inspire:

• Onsite at Hazelwood, near Derby, UK
• Competitive hourly wage with tenure-based raises
• Paid holidays within your work period
• Subsidized on-site restaurant
• Free car parking

Start and end dates are flexible dependent on your course structure and availability; internships typically last for 12-16 weeks.

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Ready for your next career step? Apply today and let's shape the future together!

It’s an exciting time to be part of Lubrizol. Lubrizol is not staying put. We are continually learning and evolving. Our passion delivers our success — not only for Lubrizol but for those who count on us every day: our employees, customers, and communities.

As a diverse, global team, we work together to solve some of the world’s most pressing challenges. We impact everyday lives through science only Lubrizol can deliver, and we never stop pushing to do it better.

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