Data Scientist Intern (PhD level)

Lubrizol Corporation; East Midlands; Hybrid; GBP 20,664 - 34,440; Full time

Benefits offered by this job

Competitive hourly wage

Paid holidays

Subsidized on-site restaurant

Free car parking

Job summary

Lubrizol Corporation is looking for a Data Scientist/Statistician Intern (PhD Level) to join their team in the East Midlands, UK. As part of the Data Science & Statistics team, you will work on analytics systems for product development, engaging in projects like predictive modeling and implementing advanced statistical methods. Ideal candidates should be enrolled in a PhD program in fields such as data science or machine learning. The position offers a competitive hourly wage and various perks including paid holidays and subsidized meals.

Qualifications

• Enrolled in a PhD program focusing on data science, machine learning, or a related area.
• Dual degree students with statistics and chemistry or chemical engineering are encouraged to apply.
• Significant coursework in predictive modeling, Bayesian approaches, or optimization.

Responsibilities

• Create predictive models from complex data for insights.
• Implement algorithms in R and Python.
• Research and apply statistical and machine learning methods.
• Work on process optimization and forecasting algorithms.

Skills

Predictive modeling

Bayesian approaches

Optimization

Data analysis

Programming

Statistical methodologies

Education

Enrolled in a PhD program (statistics, data science, machine learning, chemistry)

Tools

R

Python

SAS

JMP

C#/C++

Job description

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)

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:

• 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:

• 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.

Lubrizol is an equal opportunity employer. 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.