At a Glance
- Tasks: Join our Data Science team to create impactful analytics systems and predictive models.
- Company: Lubrizol, a global leader in specialty chemicals with a commitment to diversity.
- Benefits: Competitive pay, flexible hours, paid holidays, and onsite perks like a subsidised restaurant.
- Other info: Flexible internship duration of 12-16 weeks with opportunities for personal growth.
- Why this job: Make a real difference in the chemical industry while developing your skills in a supportive environment.
- Qualifications: PhD enrolment in data science, statistics, or related fields; strong programming and analytical skills.
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.
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)
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
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.
Data Scientist Intern (PhD level) in Derby employer: Lubrizol
At Lubrizol, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our Data Scientist Interns benefit from a competitive hourly wage, flexible internship durations, and a supportive work environment located in Hazelwood, near Derby, UK, where they can collaborate with a diverse team on impactful projects. With opportunities for personal and professional growth, along with perks like paid holidays and a subsidised on-site restaurant, Lubrizol is dedicated to empowering our employees to thrive both in their careers and personal lives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Intern (PhD level) in Derby
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Data Scientist Intern (PhD level) in Derby
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Lubrizol will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Lubrizol
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Lubrizol.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Lubrizol that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
