Data Analytics & Applied Data Science Intern – 6 - 13 months internship | Schlumberger

Job Details

Data Analytics & Applied Data Science Intern – 6 - 13 months internship

Cambridge - United Kingdom

Job title:

Data Analytics & Applied Data Science Intern – 6 - 13 months internship

 

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:

Cambridge, UK.

SLB's Research Center based in Cambridge is part of SLB global network of research and engineering centres. Our research center 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.

SLB's Research Center based in Cambridge is a distinctive marquee-like structure dominating the High Cross site on the western outskirts of Cambridge, England. This spectacular building was completed in 1985 and the smaller second phase was opened in 1992. It has recently been classified as a Grade II listed building. Altogether, there are more than 930 m2; of laboratory space and offices for more than 100 scientists, technicians and domain experts.

 

Job Summary:

You will be part of the multi-disciplinary DataLab team focusing on developing applied data science solutions for the Energy Transition and Well Construction domain challenges.

Your role will be to work with one or more research and data scientists helping to develop workflows and applications to solve problems towards our Energy Transition and Well Construction efficiency goals. This will involve advanced data analysis, automated decision-making, and user interfacing.

Depending on your personal interest and duration of the internship, you can also be assigned projects to research and implement algorithms for data analysis, AI/ML implementation or AI planning.

 

Essential Responsibilities and Duties:

  • Gather requirements from domain users
  • Propose solutions and develop data workflows that integrate with a variety of real-world business systems
  • Create domain user applications to test and validate your workflows
  • Present results of your workflows to domain users and stakeholders

 

Competencies:

Required skills:

  • Good programming skills in Python
  • Passionate interest in data science, analysing large volumes of data and understanding and solving domain challenges
  • Excellent written and oral communications skills, as well as the ability to work as part of a project team
  • Highly independent and motivated to learn and acquire new technical skills

Knowledge and experience in any of the following is a plus:

  • Matlab, SQL, Python and ML libraries (Tensorflow, Pytorch)
  • Machine learning and deep learning algorithms
  • Development of Web Applications

 

Qualification:

  • Studying towards a Bachelors or Masters in Engineering, Applied Mathematics, Computer Science or related field with previous or ongoing coursework in statistics, pattern recognition, machine learning, linguistics, speech recognition or signal processing.

 

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.

 

 

Data Analytics & Applied Data Science Intern – 6 - 13 months internship
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