Lubrizol Corporation
Data Scientist Intern (PhD level)

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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:
The empowered and agile Data Science & Statistics team is charged with creating analytics systems that enable highly effective product development via virtual experimentation, optimization and knowledge discovery. 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):
- 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)
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Previous intern projects include:
- 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
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 analyze 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


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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.
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.
One of the founding principles of The Lubrizol Corporation more than 90 years ago was treating every employee with dignity and respect. That same commitment is only stronger today. More than that, we are committed to providing an environment where every employee can be the best they can be, no matter their race, colour, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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