At a Glance
- Tasks: Develop metrics and algorithms to evaluate drilling tool performance using real field data.
- Company: Join SLB, a global leader in energy innovation and technology.
- Benefits: Gain hands-on experience, mentorship, and a chance to impact the energy sector.
- Other info: Dynamic research environment with opportunities for growth and learning.
- Why this job: Be part of a mission to balance energy needs with environmental responsibility.
- Qualifications: Pursuing a Master's in Data Science or related field; Python and data analysis skills required.
The predicted salary is between 20000 - 30000 £ per year.
Cambridge – United Kingdom
Project Title: Evaluating steering performance of downhole drilling tools
About SLB
We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. Our mission for 100 years has been to face the world’s greatest balancing act - how to simultaneously reduce emissions and meet the world’s growing energy demands.
Location: Cambridge, UK
SLB Cambridge Research (SCR) is part of SLB’s global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry.
Description & Scope
The goal of this project is to develop metrics to evaluate the steering performance of downhole drilling tools. Drilling data acquired from the field need to be systematically processed and analysed for this purpose. Performance indicators for steering will be formulated and calculated using this data. Available jobs in the database will be then scored according to the derived metrics to identify problematic runs.
Deliverables:
- Develop a workflow to access field data from operations
- Develop algorithms to process and visualize field data
- Formulate steering performance metrics
- Identify problematic runs using the scores
Qualifications:
- Studying a Masters in Data Science, Mechanical Engineering or a related discipline
- Python / MATLAB
- Accessing/processing/analysing time series data
- Basic understanding of structural mechanics
SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or other characteristics protected by law. The recruiting process and the position can be adapted to fit most disabilities, please do not hesitate to mention this when applying.
Data Scientist Intern (12 months) in Cambridge employer: SLB
SLB is an exceptional employer, offering a vibrant and innovative work culture in the heart of Cambridge, where cutting-edge technology meets sustainability. As a Data Scientist Intern, you will have the opportunity to engage in meaningful projects that contribute to energy innovation while benefiting from a supportive environment that fosters professional growth and development. With state-of-the-art facilities and a commitment to diversity and inclusion, SLB empowers its employees to make a real impact on the future of energy.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Intern (12 months) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current or former employees at SLB on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about Python, data analysis, and any relevant projects you've worked on. We want to see your passion for data science!
✨Tip Number 3
Showcase your problem-solving skills! During interviews, be ready to discuss how you've tackled challenges in your studies or projects. We love seeing candidates who can think critically and creatively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at SLB.
We think you need these skills to ace Data Scientist Intern (12 months) in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist Intern role. Highlight relevant skills like Python, data analysis, and any projects that showcase your understanding of time series data. We want to see how you fit into our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for energy innovation and how your background aligns with our goals at SLB. Let us know why you're excited about this internship and what you can bring to the table.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a university project or something personal, we love seeing practical applications of your skills. It helps us understand your hands-on experience!
Apply Through Our Website:Don't forget to apply through our website! It's the best way to ensure your application gets to us directly. Plus, you'll find all the details you need about the role and our company there. We can't wait to hear from you!
How to prepare for a job interview at SLB
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals, especially Python and MATLAB. Be ready to discuss how you've used these tools in your studies or projects, as well as any experience you have with time series data.
✨Understand the Company’s Mission
SLB is all about energy innovation and sustainability. Familiarise yourself with their goals, especially around decarbonisation and technology development. This will help you align your answers with their mission during the interview.
✨Prepare for Technical Questions
Expect questions that dive into your understanding of structural mechanics and data analysis. Practise explaining complex concepts simply, as this shows your depth of knowledge and communication skills.
✨Show Enthusiasm for the Role
Express genuine interest in the Data Scientist Intern position and the project on steering performance metrics. Share why this role excites you and how it fits into your career aspirations in the energy sector.
