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Are you looking for an internship in DATA SCIENCE?
We’re the leading provider of technology and services to the energy industry across the world. At every stage of the oil and gas lifespan, we design, develop, and deliver technology that transforms how work is done.
Our technology centres across the United Kingdom are recruiting multiple Data Science Interns for 2020.
All openings listed in the following table and detailed below have flexible start dates dependent on your availability.
When applying here, make sure to include your preferred start and end dates in your CV and to name your CV file in the following format: <your full name - ref XXXXX .pdf> where XXXXX is the opening reference of the internship you would like to be considered for in priority. Want to add more ? You can also upload an optional cover letter.
C20DH: Data Science - Well Construction - Cambridge - 3 to 13 months Flexible duration
Scope and Subject of the Opening
As a part of Well Construction drilling activities, Schlumberger records information related to:
The goal of this internship will be to use techniques in data analytics and data science to optimize and automate the analysis of this data, in order to identify the optimum drilling tools or parameters to be used in a given scenario.
The internship will be an opportunity for the intern to learn & apply:
Responsibilities
To achieve the project goal, the candidate may need to:
Competencies
Qualifications
Studying towards a Masters or PhD in Data Science or related field
C20YA: Data Science - Data Workflows - Cambridge - 3 to 13 months Flexible duration
Scope and Subject of the Opening
The well construction domain team looks after the integration of data generated in operations, ongoing challenges of the business and with the data analytics team continuously develop prototypes of new solutions to operational challenges and help the technology teams to expedite the delivery of new workflows to operations.
You will be involved in the development of new data-oriented workflows where guided by domain experts you will work with large sources of data in tasks like the discovery of new insights, the solution to operational questions and in helping other teams implement solution prototypes.
Your work will require basic scientific understanding of physical processes and will involve programming in python as well as the development of workflows in the company’s data science platform. You will be assigned several mini-projects related to various areas of well construction, where there will be opportunity to develop new ideas and to influence the data infrastructure development of the platform.
Responsibilities
Competencies
Qualifications
Studying towards a Bachelors or Masters or PhD in in a field related to signal processing, engineering, applied mathematics, physics, statistics, machine learning or computer science.
S20RB: Data interpretation and Machine learning - Stonehouse - 3 to 13 months Flexible duration
Scope and Subject of the Opening
You will be involved in the development of pilot project that aims at using recorded drilling data to optimize the development of new Rotary steerable system as well as the improvement of drilling trajectories. You will work with a multi-disciplinary team on the industry best steering systems to understand their behavior and provide models of these behavior to aid operations and development.
Responsibilities
Tasks will be focused on:
Competencies
Qualifications
Studying towards a Bachelors or Masters in Computer Sciences, Geosciences, Geophysics, Data Science, Signal processing or related field.
Schlumberger is the world's leading provider of technology for reservoir characterization, drilling, production, and processing to the oil and gas industry. Working in more than 85 countries and employing people who represent over 140 nationalities, Schlumberger supplies the industry's most comprehensive range of products and services, from exploration through production and integrated pore-to-pipeline solutions for hydrocarbon recovery that optimize reservoir performance.
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