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Data Scientist (002068) in London at Inmarsat

Date Posted: 9/25/2018

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Job Description

Primary role purpose:

We are constantly improving our capability to capture and report on statistical data captured from Inmarsat Satcoms networks.

We would like to improve how we analyse and report on our data. We want to find advanced solutions, for example using machine learning, that allow us to build insights into the behaviour of our networks and to build improvements on these insights. The areas of interest could be in capacity planning, in trends in traffic analysis, in customer-driven issue management. The activity will be to select appropriate technologies, adapt for our needs to analyse and gain greater insight into our network behaviour.  

You will bring your experience in the definition, section, rollout of technology platforms that support machine learning and artificial intelligence. You will work closely with the engineering teams that carry out analytics to ensure that the solutions are appropriate to support analysis of our service operational operations.

You should be able to develop an understanding of the issues that we work with, identify and operate the most appropriate tools used for data analysis and machine learning. This role is not concerned with development of chatbots and customer service tools; our work analyses the masses of data gathered by our network nodes.

The role requires a considerable amount of teamwork and influencing skills to bring together many parts of the business to progress resolution of analysis and issues. The management of stakeholders at all levels of the business is expected, including senior management.

The role interfaces into the Technical Design and Development teams, Customer Experience teams, Business Units, Customer Support team, our Service Partners, Network Operations and to our Technology Suppliers.

The Service Assurance team exists to manage best in class network services where the service performance is continually challenged for improvement.

Job Requirements

Key Responsibilities:

  • Identify new tools and keeps abreast of new technologies for data analysis, machine learning, and artificial intelligence.
  • Identify and monitor specific investigations and assess impact on services, network, and business.
  • Have innovative approach as investigations are unique and use different Machine Learning techniques.

 Essential Knowledge and Skills:

  • Passionate about Machine Learning, programming, and AI
  • Highly experienced in developing novel Machine Learning algorithms in either industry or academia
  • Ideally a strong programmer in Python;
  • Can quickly read, understand, implement, and test new ML models;
  • Experience with Google Cloud Platform.

Desirable Knowledge and Skills:

  • Experience of telecoms or satellite systems would be an advantage, but not essential.


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