Data Scientist

  • Full-time

Company Description

CGG (www.cgg.com) is a global geoscience technology leader. Employing around 3,700 people worldwide, CGG provides a comprehensive range of data, products, services and solutions that support our clients to more efficiently and responsibly solve complex natural resource, environmental and infrastructure challenges.  

Our geoscience solutions mobilize the expertise and ingenuity of our exceptional geoscientists, data scientists, researchers and engineers, and leverage the latest data analytics, machine learning and AI technologies to deliver new insights and innovations that enable our clients to achieve their business and energy transition goals in new, more sustainable ways.

We offer a comprehensive portfolio of multi-disciplinary, multi-client products including analytics-ready geoscience data and the industry’s most technologically advanced seismic data library in the world’s key locations.

Job Description

The employee will join CGG Satellite Mapping, part of CGG’s Energy Transition & Environment (ETE) business line based in Edenbridge, UK (25 miles south of London).

We harness the unique capabilities of Earth observation satellites, providing innovative mapping and monitoring solutions, and access to the best imagery and elevation data, across a variety of applications and markets including Energy, Mining, Engineering, Environment and Defence.

This team is expanding rapidly, with a diverse collection of roles opening up through 2022.

The employee will work with remote sensing and domain experts to explore and apply data science techniques to vast amounts of satellite imagery. They will help develop new solutions and refine and automate existing ones.

The successful candidate will work as part of a team responsible for adoption of new technologies as well as development and maintenance of systems, pipelines, and tools for large-scale satellite data processing.

We are seeking a candidate who has excellent communication skills, is able to interact and work well with the direct team as well as across disciplines. Has the ability to work independently when required, and is an innovative thinker who has the aptitude to take initiative and communicate well to solve problems and find the best solutions. 

Qualifications

The successful candidate will have 0-5 years’ industry experience.

A strong understanding and knowledge of Python as well as data science and machine learning.

It would also be desirable to have knowledge of the below:

  • PyTorch, particularly convolutional neural networks
  • Data science Python libraries e.g. Dask, Numpy, Pandas, Scikit-Learn, Xarray
  • Geospatial data formats e.g ESRI Shapefiles, GeoTiff
  • Git, CI/CD, containers, Kubernetes

Additional Information

Our culture of learning and complementary approach to supported or self-guided career development, enables the design of tailored courses to suit specific needs of each individual to aid personal growth in areas related to technical, commercial and personal skills, via an extensive suite of CGG developed courses, managed through our own CGG Learning Hub.­

Benefits Package

  • Competitive salary commensurate with experience.
  • Highly attractive bonus scheme
  • Initially 22 days holiday with future increases, complemented by a flexible buying and selling holiday program
  • Company contributory pension plan
  • Accommodation assistance program
  • Flexible Private Medical & Dental care programs, tailored to suit individual or family needs
  • Employee Assistance Program to support our staff 

We Care about our Staff and Environment

We recognise the importance of work life balance for our employees, which is supported through our flexible working and relaxed dress code policies.

We recognise and actively support the wellbeing of our staff through many different initiatives;

  • Onsite exercise opportunities and promotion of active lifestyles
  • Recently refurbished kitchen facilities
  • Regular social club events, spontaneous reward events throughout the year
  • Many discounts schemes, including Gym membership and a cycle purchase scheme

We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises.

 

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