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
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like Lubrizol.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including Lubrizol, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like Lubrizol.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Lubrizol, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Data Scientist Intern (PhD level) in Derby
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so Lubrizol can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at Lubrizol and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at Lubrizol
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells Lubrizol that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into Lubrizol’s culture and workflow.
