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Job title:
Data Science Intern (3 Months) - Cloud based automated workflows for analysing responses of numerical simulators

About Us:
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.

Location:
Abingdon, UK

Job Summary:
Numerical simulation remains the only reliable method to predict the future state of a system - be it weather, fluid flow, landing on Mars or physics powered realistic gaming. A reservoir simulator is used to model fluid flow in porous media for various applications including carbon capture and storage and geothermal energy systems. Various machine learning applications are used to substitute parts of the numerical simulator to make them more accurate and fast. Quality checking of various inputs and responses from these ML models is crucial for the success of a workflow and can at times be very time consuming. Cloud based automated data anaytics workflows can solve this bottleneck and provide seamless integration of new ML features into various end-user workflows. During this internship, the candidate will learn how to use dataiku pipelines to setup automated pipelines to check responses from various ML models and use python to construct the testing framework. They will also get hands on experiences of using various ML algorithms in commercial reservoir simulation domain.

Essential Responsibilities and Duties:

As part of the numerical simulation team you will work on developing data quality control pipelines using Dataiku and python. You will use the state-of-the-art commercial reservoir simulator to test various perturbations to the physical as well as numerical system and create detailed but automated reports using data analytics tools. This workflow will be deployed internally in the organization and will be used by engineers around the world. You will exclusively work with Dataiku, Python and TensorFlow and get opportunities to deploy ML pipelines on Azure cloud.

Qualifications:
Penultimate or final year student, studying towards Bachelors or Masters in Data Science, Computer Science or related field.

Competencies:
Required skills:

• Python and basic knowledge of machine learning/data science

Nice to have:

• Preferable but not required to have Dataiku experience

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.