About SLB
We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all.
At SLB, we recognize that our innovation, creativity, and success stem from our differences. We actively recruit people with a diverse range of backgrounds and cultivate a culture of inclusion that unlocks the benefits of our diversity. We want to ensure that everyone feels a sense of belonging here and we encourage, enable, and empower our people to foster inclusivity, build trust, and demonstrate respect for all across the organization.
Location:
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 400 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. 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
Assistance with the Development of an application targeted for Field engineers to understand and optimize their drilling performances. The tasks can go from data connection, ingestion, processing, and ML and AI tool deployment.
Deliverables
* Work with a team and help with the data ingestion and connection
* Process drilling data to provide users with relevant data
* Build machine learning models and deploy them
* Assist with AI tool deployment
Required Skills & Education
* Master's Degree - (Penultimate or Final year) in Data science/Software-Computer science or a related discipline
* Oral and written communication skills in English
* Good motivation, autonomy, teamwork, and ingenuity
* Signal processing
* Python Programming
* Basics of ML