Data Scientist/Statistician Intern in Kilburn

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 worldwide. You will collaborate with a diverse group of passionate individuals to deliver sustainable solutions that advance mobility, improve wellbeing, and enhance modern life.

Potential Projects

• 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 modeling
• 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)

Previous Intern Projects

• 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

Eligibility & Skills

• 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
• Significant coursework in one or more of: predictive modeling, Bayesian approaches, or optimization
• Proficient at efficiently manipulating, processing, and analyzing data of various modalities, including numerical, image, and text
• 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

EEO Statement

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. Lubrizol is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.