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Data Science Engineer
United Kingdom
May 27, 2019
Salary: Negotiable
Experience 0.0-5.0 years
Job Category Engineering Jobs
Employment Type Full time
Industry Oil & Gas
Skill IT - Programming & Database
Role Other Engineering Jobs
Designation Engineer
Education Post Graduate
No. of vacancies 1
About Company

NES Global Talent is an award winning manpower specialist that provides candidates across the Oil & Gas, Power, Construction & Infrastructure, Life Sciences, Manufacturing, Chemicals, Mining and IT sectors worldwide. We provide guaranteed staffing solutions, sourced from a global talent pool by a dedicated, discipline specific team of over 650 staff. It’s people that deliver projects and with over 48 offices in 28 countries across Europe, Africa, the Americas, Asia, Australia and the Middle East, we have access to the best talent wherever it may be in the world. NES Global Talent can offer a full range of staffing solutions: Contract, Permanent (Direct) Hire, Managed Solutions, or a fully outsourced service. These services are complemented by an industry leading support service and mobility package to ensure clients keep hold of the top talent in a compliant manner for as long as they need it.

Job Description

Responsibilities & Tasks:

  • Application of Machine Learning techniques to both time series and unstructured data, providing insights that enable more effective condition monitoring and ultimately improve the availability of subsea production equipment
  • Develop scalable solutions applicable across multiple generations of equipment
  • Work closely with a multi-functional team, leveraging domain expertise from across the business
  • Interface with third party suppliers and institute offering data analysis services and expertise
  • Deliver documentation and presentation material for both internal and external stakeholders
  • Strive to continuously improve processes and practices
  • Ensure on time delivery that meets the expectations of stakeholders
  • Ensure features deployed have technical integrity and stability.


Qualifications / Personal Attributes:

  • Master's Degree in Computer Science, Statistics, Applied Math or related field
  • Able to understand various data structures and common methods in data transformation
  • Excellent pattern recognition and predictive modelling skills
  • Experience with programming languages such as Java/Python; Good understanding of the data analytics landscape, tools and technology
  • Experience working in an agile software development project
  • Work effectively with distributed teams and stakeholders
  • Passion for technology and continuous personal development
  • Able to communicate with colleagues and partners at all levels, and ask the right questions to get the best out of everyone
  • Experience with tools available in Google Cloud computing and Oilfield / subsea production experience is desirable.


The successful candidates will receive a competitive salary and benefits, plus a strong work/life balance, positive work environment with challenging tasks, and a range of development opportunities.

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