Data Analytics and Applied Data Science Internship (6-12 months) | Schlumberger

Job Details

Data Analytics and Applied Data Science Internship (6-12 months)

Cambridge - United Kingdom

Job title:

Data Analytics and Applied Data Science Internship (6-12 months)

 

Location:

Cambridge, UK

 

About Schlumberger:

We are Schlumberger, the leading provider of technology and services to the energy industry. Throughout much of the oil and gas lifecycle in over 120 countries; we design, develop, and deliver technology and services that transforms how work is done.

We define the boundaries of the industry by unleashing our talented people’s energy. We’re looking for innovators to join our diverse community of colleagues and develop new solutions and push the limits of what’s possible. If you share our passion for discovery and want to find out what you could really do, then here is the place to do it.

 

Job Summary:

You will be part of the multi-disciplinary Well Construction Data Lab team focusing on developing applied data science solutions for 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 in Well Construction operations, advanced data analysis, automated decision-making, and user interfacing.

Depending on your personal interest and duration of the internship, you can also be assigned mini-projects to research and implement algorithms for data analysis, optimization, 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

 

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.

 

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

 

Schlumberger 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 and Applied Data Science Internship (6-12 months)
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