Organisation NERC
Organisation Detail British Geological Survey
Reference Number IRC242150
Location Edinburgh See on Map
Salary £28200 - £30600
Date Posted 04 August 2017
Grade NERC-6 New
Contract Type Open Ended
Hours Full Time
Closing Date 03 September 2017
Interview Date

Salary: £28,200 per annum to £30,600 per annum (depending on qualifications and experience)
Grade: NERC 6
Contract Type: Open-Ended
Hours: Full Time
Closing Date: 3 September 2017
Interview Date: 28 September 2017

Primary Tasks:

  • developing and delivering insight from geoscience data using novel, but robust statistical and analytical techniques/ methods (e.g. Natural language processing, sentiment analysis, machine learning etc.) which will help BGS to better understand and predict geological processes that matter to lives and livelihoods
  • utilise data (e.g. captured through the UK GeoEnergy Observatories Project (UK GEOS) and distributed computing resources (e.g. Clusters, Clouds, etc.) to help develop data driven insights into the subsurface environment
  • liaise with a variety of H2020 project leaders in BGS , team leaders and their external collaborators to apply Data Science techniques that will contribute to the delivery of their scientific objectives (themes could include urban geoscience for resilient urban design, social sensors to gain better awareness of public perceptions of different geoscience activities e.g. Natural Hazards, energy projects)
  • provide expertise in the application of Data Science techniques to a variety of geoscience areas (in relation to above bullet point)
  • undertake investigative work into new technologies and engage with discussions on suitability and adoption
  • develop the Data Science capabilities within BGS by sharing knowledge, experience and expertise with others
  • work with the Senior Data Scientist to seek avenues for future funding for the Informatics Directorate (particularly with regard to Data Science) through commercial projects or collaborative partnerships in the Informatics/Geoscience area
  • identify or bring techniques that have proved successful in scientific or other business domains and apply them to a geoscience (Earth/ Geological Science) setting.

Other Tasks:

  • communicate the work of the Informatics team through conference presentations, attendance at workshops and through written papers
  • continuous professional development to maintain an up to date and relevant skills profile.


  • a relevant degree with an MSc or PhD  or relevant equivalent work experience in Data Science or a field strongly related to data science (e.g. statistics, computer science or mathematics)
  • some postgraduate experience in the application of data mining and/or machine learning techniques against large datasets
  • some postgraduate experience of a range of distributed computing engines and computing environments (NB. BGS has access to local and national HPC clusters)
  • demonstrate proficiency in a number of data science specialisms (e.g. Natural Language Processing, Network Analysis, Data mining, Machine learning, Cognitive computing)
  • some experience working on data science projects
  • good working knowledge of big data analytics tools (Apache Spark, Apache Flink, Hadoop Ecosystem) and variety of languages (Python, R, C, C++)
  • good working knowledge of a range of analytical tools/code bases (e.g. R, SAS and/or Python, or SQL for advanced statistics and programming)
  • can demonstrate a clear understanding of data privacy and ethical considerations when applying data science
  • ability to present and advocate Data Science clearly to non-data scientists (orally and written form)
  • capacity for self-development
  • ability to work within a variety of teams
  • ability to prioritise work and set clear objectives
  • ability to adapt to change and work in a flexible manner
  • able to communicate effectively to both junior and senior members of staff
  • approachable
  • demonstrates an interest in the work of BGS and NERC
  • displays an enthusiasm for their science / their role and a desire to develop this further
  • demonstrates curiosity and a drive to resolve scientific problems through Data Science techniques.


  • an MSc or PhD including Data Science or Data Analytics techniques
  • geology/environmental science qualification (e.g. A Level)
  • experience of working within an agile project team
  • experience of writing about technical data science uses for a range of audiences
  • experience of working with 4D (time-series) data
  • experience of commercial web software development (Using HTML, CSS, Java Script)
  • experience conducting data science in order to assist with the creation of a full-stack web app
  • familiarity with spatial data management and handling, including use of spatial data in both relational and non-relational databases
  • ability to coach or mentor other staff; to up-skill the wider BGS Informatics teams in the use of new technologies, principles and techniques
  • ability to work with external clients/ stakeholders
  • willingness to travel and work overseas for short periods of time (weeks).
Working hours will be 37 per week excluding lunch breaks. A generous benefits package is also offered, including a company pension scheme, childcare voucher scheme, 30 days annual leave plus 10.5 days public and privilege holidays. NERC has an equal opportunities policy and welcomes applications from all sections of the community. People with disabilities and those from ethnic minorities are currently under represented and their applications are particularly welcomed. Guaranteed interview scheme for applicants with disabilities. The British Geological Survey is an Investors in People organisation.

Only online applications will be accepted and should be submitted in the form of an up-to-date c.v. and covering letter (ensuring that the IRC reference is included in the file name description of each document uploaded), which clearly outlines why you are applying for this post and how you meet the criteria described in this advertisement. Please note that applications submitted without a covering letter, or which fail to address these points, may not be considered further.
Applicants who would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), or who are unable to apply online should contact us by telephone on 01793 867000. Please quote the appropriate reference number when calling.

As this job does not fulfil the Home Office Code of Practice criterion for obtaining sponsored migrant worker status we will be unable to apply for sponsorship for anyone not eligible to work in the UK.   At interview, all shortlisted candidates are required to bring with them identification documents and original documents that prove they hold or can obtain the right to work in the UK. You can check your eligibility here: