At a Glance
- Tasks: Join a dynamic team to create analytics systems and deliver innovative solutions.
- Company: Lubrizol Corporation, a leader in product development and data science.
- Benefits: Competitive pay, paid holidays, onsite perks, and flexible internship duration.
- Other info: Collaborative environment focused on respect and diversity.
- Why this job: Make a real impact with cutting-edge data science and machine learning projects.
- Qualifications: PhD enrolment in relevant fields with strong programming and analytical skills.
The predicted salary is between 20 - 25 € per hour.
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
- 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
What We’re Looking For
- Significant coursework in one or more of the following: 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.
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. 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, veteran status, or any other characteristic.
Data Scientist Intern (PhD level) in England employer: Lubrizol IMEA
Lubrizol Corporation is an exceptional employer that fosters a collaborative and inclusive work culture, particularly for Data Scientist Interns in Hazelwood. With competitive pay, flexible internship durations, and a commitment to employee growth through diverse projects, interns can expect to gain invaluable experience while contributing to meaningful advancements in mobility and wellbeing. The company’s dedication to treating every employee with dignity ensures a supportive environment where innovation thrives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Intern (PhD level) in England
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. The more you engage with others, the better your chances of landing that Data Scientist Intern gig.
✨Show Off Your Skills
Create a portfolio showcasing your projects and skills. Whether it's predictive models or interactive visualisation tools, having tangible examples of your work can really impress potential employers.
✨Ace the Interview
Prepare for interviews by practising common data science questions and scenarios. Be ready to discuss your experience with R, Python, and any machine learning methods you've used. Confidence is key!
✨Apply Through Our Website
Don't forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Scientist Intern (PhD level) in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist Intern role. Highlight relevant coursework, projects, and skills that align with what we’re looking for, like predictive modelling and machine learning. This shows us you’re serious about the position!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how your background makes you a great fit for our team. Don’t forget to mention any specific projects or experiences that relate to the job description.
Show Off Your Skills:If you’ve got experience with R, Python, or any other relevant tools, make sure to showcase that in your application. We love seeing practical examples of your work, so consider including links to projects or GitHub repositories if applicable!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, it shows you’re proactive and keen on joining our team!
How to prepare for a job interview at Lubrizol IMEA
✨Know Your Data Science Stuff
Make sure you brush up on your predictive modelling, Bayesian approaches, and optimisation techniques. Be ready to discuss specific projects or coursework that showcase your skills in these areas, as the interviewers will want to see how you can apply your knowledge practically.
✨Show Off Your Programming Skills
Since advanced programming skills are a must, be prepared to talk about your experience with R, Python, or any other relevant languages. You might even get asked to solve a coding problem on the spot, so practice some common data manipulation tasks beforehand!
✨Demonstrate Your Curiosity
The team values curiosity and creativity, so come armed with questions about their current projects or challenges they face. This shows that you're genuinely interested in the role and eager to contribute innovative ideas to their work.
✨Prepare for Technical Questions
Expect technical questions related to machine learning methodologies and statistical methods. Review key concepts and be ready to explain them clearly. It’s also a good idea to have examples of how you've applied these methods in past projects to illustrate your understanding.