🚀 Internship

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

Schlumberger

•

Oct 20

🚀 Placement Program

Cambridge

Rolling basis

Description

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.

Area of Responsibilities

Data

Responsibilities

Gather requirements from domain usersPropose solutions and develop data workflows that integrate with a variety of real-world business systemsCreate domain user applications to test and validate your workflowsPresent results of your workflows to domain users and stakeholders

Requirements

Required skills:Good programming skills in PythonPassionate interest in data science, analysing large volumes of data and understanding and solving domain challengesExcellent written and oral communications skills, as well as the ability to work as part of a project teamHighly independent and motivated to learn and acquire new technical skillsKnowledge and experience in any of the following is a plus:Matlab, SQL, Python and ML libraries (Tensorflow, Pytorch)Machine learning and deep learning algorithmsDevelopment of Web ApplicationsQualification: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.