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Data Scientist

  • Location: Aberdeen
  • Job type: Contract
  • Sector: IT Manager / Engineer / Designer
  • Date posted: 03/07/2018
  • Job reference: VR/43791
This vacancy has now expired.
Our Client is looking to hire a Data Scientist to join their Team on a long term contract basis, in Aberdeen, UK. Suitable candidates will reside in or near Aberdeen, UK.

Only those with the Right to Work in the UK should apply. Raeburn do not have the ability to provide visa sponsorship, therefore current valid ability to work in the UK is required.

The Data Scientist will join the Digital Transformation team. This represents a unique opportunity to make significant, material impacts on the business from day one via:
1) vast amounts of historical and real time data which could be further utilised to extract greater value
2) the ability to measure success through established business reporting processes and KPIs
3) a pipeline of varied opportunities ready to be tackled
4) peer support from an International based Analytics Community of Excellence
Through the use of data analytics, the Data Scientist will support projects in data visualisation, advanced analytics, predictive analytics and machine learning.

Key Skills:
1) The ideal candidate will be fully familiar with all standard Data Science techniques, and should have experience in some of the following areas:
a) Machine learning/deep learning, Bayesian models, neural networks, advanced clustering, information retrieval, natural language processing, recommendation engines, training/learning algorithms, spatial statistics
2) Highly proficient with a variety of typical Data Science software tools and programming languages such as R, Python, SQL, Hadoop and Apache Spark
3) The ability to develop solutions with TIBCO Spotfire is desirable
4) Experience in developing data science based solutions and successfully deploying to end users
5) Ability to work with unstructured or incomplete datasets
6) Ability to explain data science solutions to non-data scientists and to non-technical business stakeholders
7) Solid foundation in cloud computing including understanding of cloud technology, cloud architecture and how to design, develop, and manage robust and secure solutions hosted in the cloud
8) Ability to manage competing priorities and to think outside of the box to come up with practical and innovative solutions
9) Team player with strong collaboration skills who adapts to a dynamic working environment

1) Educated to degree level (e.g. mathematics, physics, statistics) with a relevant professional qualification or experience (e.g. data science, data management, data governance, advanced analytics and visualisation)
2) Domain expertise in the Oil and Gas industry or similar would be of benefit but not essential.