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Data Scientist

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Data Scientist

  • Location

    Abingdon, Oxfordshire

  • Sector:

    Software Development

  • Job type:

    Permanent

  • Salary::

    £50000 - £70000 per annum

  • Contact:

    Lee Bowles

  • Contact email:

    lee.bowles@claremontconsulting.com

  • High Salary:

    70000

  • Low Salary:

    50000

  • Reference:

    BBBH16427_1560270555

  • Job Published:

    4 months ago

  • Expiry Date:

    2019-06-25

  • Consultant:

    #

Data Scientist- Abingdon, Oxfordshire- Up to £70k

The role is for a data scientist to work on several complex and challenging Oilfield domain data projects covering Reservoir Simulation and Field Development Planning.

The successful candidate will apply data science and machine learning approaches and tooling to automate the use of data to augment workflows in these domains, and to identify opportunities and insights from the raw data.

The individual must be able to understand conceptually a new problem described to them and to then successfully select and apply the optimum appropriate data science approach. This will also require the data scientist to own the definition and maturation of related requirements for the engineering projects and see them through to successful delivery and release to operations.

Responsibilities:
Iteratively prototype and build data analysis pipelines and predictive models
Design, develop and evaluate data science solutions for clients
Find innovative ways to capture engineering knowledge and serve it at scale
Contribute to internal data science and machine learning building blocks
Embrace cross-functional teamwork by finding new ways through which machine learning, user experience and domain knowledge amplify each other
Assist application telemetry design from an analytics point of view
Data visualization for rapid stakeholder feedback and web-based application prototypes

Qualifications:
2+ years of industry experience in predictive modelling and data analysis
Experience using Python and/or R in a commercial setting
Experience using statistical and machine learning libraries
Source code management tooling (e.g. Git)
Experience of working in Agile development environment
Strong communication and data presentation skills

Education:
Master's degree in Applied Mathematics, Statistics, Computer Science or equivalent experience. A background in computer science is preferred for this role.