At a Glance
- Tasks: Evaluate drilling tool performance and develop innovative algorithms in a dynamic research environment.
- Company: Join SLB, a leader in energy technology and innovation.
- Benefits: Gain hands-on experience, mentorship, and a competitive internship package.
- Other info: 12-month internship starting Summer 2026 in Cambridge, UK.
- Why this job: Make an impact in the energy sector while enhancing your data science skills.
- Qualifications: Master's student in Data Science or Mechanical Engineering with Python and Matlab skills.
The predicted salary is between 20000 - 30000 £ per year.
SLB is seeking a Data Scientist Intern for a 12-month role starting in Summer 2026 in Cambridge, UK. The intern will work on evaluating the steering performance of downhole drilling tools as part of SLB’s dynamic and multidisciplinary research environment.
The ideal candidate will be in a Master's program related to Data Science or Mechanical Engineering and have proficiency in Python and Matlab.
Responsibilities include:
- Developing workflows
- Creating algorithms
- Establishing performance metrics
Data Scientist Intern (12 Months) – Drill Data Metrics, Cambridge employer: SLB
SLB is an excellent employer that fosters a dynamic and multidisciplinary research environment, making it an ideal place for aspiring Data Scientists to grow their skills. With a strong emphasis on innovation and collaboration, employees benefit from hands-on experience in cutting-edge projects while enjoying a supportive work culture that encourages professional development. Located in Cambridge, a hub of technology and education, interns will have unique opportunities to network and learn from industry leaders.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Intern (12 Months) – Drill Data Metrics, Cambridge
✨Tip Number 1
Network like a pro! Reach out to current or former interns at SLB on LinkedIn. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you’ve worked on any projects using Python or Matlab, be ready to discuss them in detail. Bring examples of your work to the interview to demonstrate your problem-solving abilities.
✨Tip Number 3
Prepare for technical questions! Brush up on your data science fundamentals and be ready to tackle some coding challenges. Practising common interview questions can help us feel more confident when it’s showtime.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who are eager to learn and grow in a dynamic environment like SLB.
We think you need these skills to ace Data Scientist Intern (12 Months) – Drill Data Metrics, Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant skills and experiences, especially in Python and Matlab. We want to see how your background aligns with the role of a Data Scientist Intern.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about data science and how you can contribute to our team. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any projects related to data science or mechanical engineering, make sure to mention them. We love seeing practical applications of your skills!
Apply Through Our Website:For the best chance of success, apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at SLB
✨Know Your Stuff
Make sure you brush up on your Python and Matlab skills before the interview. SLB is looking for someone who can develop workflows and algorithms, so be ready to discuss your experience with these tools and any relevant projects you've worked on.
✨Understand the Role
Familiarise yourself with the specifics of evaluating steering performance in downhole drilling tools. Research SLB’s work in this area and think about how your background in Data Science or Mechanical Engineering can contribute to their projects.
✨Prepare Questions
Have a few thoughtful questions ready to ask your interviewers. This shows your genuine interest in the role and helps you understand more about the team dynamics and the projects you might be involved in.
✨Show Your Passion
Let your enthusiasm for data science and engineering shine through. Talk about why you're excited about this internship and how it fits into your career goals. A positive attitude can make a big difference!
