Data Analytics Engineer Placement Stonehouse 2024
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. That is our purpose. As innovators, that’s been our mission for 100 years. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy demands. We’re working on that answer. Every day, a step closer.
Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It’s what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet.
Stonehouse Technology Centre (SHTC) is the SLB drilling Centre of Excellence. It supports SLB through innovative engineering and quality-driven manufacturing, with portfolio emphasis on rotary steerable systems, Measurement While Drilling tools, Specialised Measurement tools and Rechargeable Batteries for Downhole use, and power source products.
Over 300 employees work in SHTC's modern, fit-for-purpose building in scenic Gloucestershire. The facility was constructed to handle future demand for PowerDrive tools with an efficient workflow that ensures assembled tools are extensively and rigorously tested before delivery. On site, tools can be monitored using state of-the-art hardware and connectivity that link SHTC to all field locations.
SHTC continues Research & Development investment for new technologies, extending operational limits so that clients can reach hotter, deeper reserves.
Description & Scope
The core responsibility of a Data Analytics Engineer is to develop Python algorithms for determining the health state of machinery equipment to improve their operational reliability and efficiency. The candidate will collaborate closely with engineer SMEs to understand equipment physics and develop sustainable, industrial-grade algorithms. The role involves analyzing large time-series data from sensor measurements combined with other operational data in cloud as well as in local system. There is a strong emphasis on applying engineering knowledge in developing algorithms and extracting features out of raw data to build diagnostic models.
The internship candidate will work under the mentorship of an Analytics Engineer or a Data Scientist to code Python algorithms and use Dataiku Data Science cloud platform. Candidate is expected to perform database queries and data analysis using Python packages of Pandas, Numpy, Matplotlib, and Scikit-learn. At the outcome of this internship the candidate will gain experience on developing Python algorithms that comply with devops best practices and exposure to the advanced proprietary technologies of downhole drilling tools.
- Master Degree - (Penultimate or Final year) in Engineering, Data Science, Analytics or a related discipline
- Oral and written communication skills in English
- Good motivation, autonomy, teamwork, and ingenuity
- Python coding (using Pandas, Numpy, Matplotlib)
- Basic SQL queries
- Fundamentals of statistics and probability (regression, variance, conditional probability, etc.)
- Elementary physics (force, acceleration, torque, etc.)
BlueFlex: We are open to flexible, hybrid working with a combination of on-site & home working days.
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.