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- Tasks: Work on predictive modeling and exciting data science projects with diverse teams.
- Company: Join Lubrizol Corporation, a leader in innovation and collaboration.
- Benefits: Enjoy competitive pay, paid holidays, and perks like subsidised dining and free parking.
- Other info: Flexible internship duration of 12-16 weeks tailored to your availability.
- Why this job: Gain hands-on experience with advanced statistical techniques and programming in a dynamic environment.
- Qualifications: PhD level in Data Science or Statistics with a passion for predictive modelling.
The predicted salary is between 20 - 25 £ per hour.
Lubrizol Corporation in Shottlegate, UK is offering a PhD level internship for Data Scientist/Statistician. Interns will work on predictive modeling and various data science projects, collaborate with diverse teams, and gain experience with advanced statistical techniques and programming.
Competitive hourly wages, paid holidays, and benefits including subsidized on-site dining and free parking are included. The internship typically lasts 12-16 weeks, with flexible start and end dates based on availability.
PhD Data Scientist Intern: Predictive Modeling & AI employer: Lubrizol Corporation
Contact Detail:
Lubrizol Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Data Scientist Intern: Predictive Modeling & AI
✨Tip Number 1
Network like a pro! Reach out to current or former interns at Lubrizol on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on predictive modelling techniques and AI concepts. We want to show them we’re not just book-smart but can apply our knowledge practically.
✨Tip Number 3
Showcase our projects! If we’ve done any relevant work, whether in our studies or personal projects, let’s have them ready to discuss. Real examples can set us apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, it shows we’re serious about joining the team at Lubrizol.
We think you need these skills to ace PhD Data Scientist Intern: Predictive Modeling & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the PhD Data Scientist Intern role. We want to see how your background in predictive modeling and data science makes you a great fit for us!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team at Lubrizol. We love seeing enthusiasm and a personal touch!
Showcase Your Projects: If you've worked on any cool projects or research, make sure to mention them! We’re interested in your hands-on experience with advanced statistical techniques and programming, so don’t hold back.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding the internship!
How to prepare for a job interview at Lubrizol Corporation
✨Know Your Data Science Basics
Make sure you brush up on your fundamental data science concepts, especially predictive modelling and statistical techniques. Be ready to discuss how you've applied these in your previous work or studies.
✨Showcase Your Programming Skills
Familiarise yourself with the programming languages and tools mentioned in the job description. If you have experience with Python, R, or any relevant libraries, be prepared to share specific examples of projects where you used them.
✨Prepare for Team Collaboration Questions
Since you'll be working with diverse teams, think about past experiences where you collaborated effectively. Have a couple of examples ready that highlight your teamwork skills and how you contributed to achieving a common goal.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the types of projects you might work on or how the team approaches predictive modelling. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.