Data Scientist (Climate Hazards) – Cambridge

Job reference:
BAS 92/19
Contract type:
Full Time
Fixed-Term Appointment (2 years)
Starting from £30,782 per annum.
We offer generous benefits
British Antarctic Survey
Closing date:
8 September, 2019 11:59 pm


The British Antarctic Survey (BAS) is looking for a Data Scientist (Climate Hazards) to work in the Atmosphere, Ice and Climate (AIC) team. This role involves working with environmental scientists and machine learning engineers to apply new algorithms to a range of climate-relevant datasets, and deliver informative and actionable information and indices for use by the global climate impact community and decision makers.
The successful post holder will have strong skills in mathematics and statistics with experience in data processing and analysis and able to work as part of a team, as well as independently.


Climate hazards are weather and climate 'extreme events' that can cause loss of life, injury, or other health impacts, as well as damage and loss to property, infrastructure, livelihoods, service provision, and environmental resources. The purpose of this post is to work with environmental scientists and machine learning engineers to apply new algorithms to a range of climate-relevant datasets, and deliver informative and actionable information and indices for use by the global climate impact community and decision makers.


A PhD degree in a quantitative subject (or equivalent)


# Lead the analysis and writing for science papers, together with senior scientists in Cambridge
# Processing large N-dimensional gridded climate data products
# Apply and help develop new machine learning algorithms
# Liaising with environmental scientists and machine learning engineers within BAS, Cambridge and other UK University partners
# Manage code on GitHub (or equivalent), and publish Jupyer notebooks for the UK AI/environmental science community
# Help develop data pipelines and interfaces to enable non-specialists to easily access climate impact metrics
# To present work at national and international meetings
# Any other tasks, within the remit of the role, as required by the Director

On-line application forms and further information are available on our website at

These are also available from the Human Resources Section, British Antarctic Survey, High Cross, Madingley Road, Cambridge, CB3 0ET. Tel: (01223) 221508.
Please quote reference: BAS 80/19
Closing date for receipt of application forms is: 8th September 2019
Interviews are scheduled to be held between: 23rd-25th September 2019 - Date TBC
BAS is an Equal Opportunity employer. As part of our commitment to equality, diversity and inclusion and promoting equality in careers in science, we hold an Athena SWAN Bronze Award and have an active Equality, Diversity and Inclusion programme of activity. We welcome applications from all sections of the community. People from ethnic minorities and disabled people are currently under-represented and their applications are particularly welcome. We operate a guaranteed interview scheme for disabled candidates who meet the minimum criteria for the job. We are open to a range of flexible working options, including job sharing, to support childcare and other caring responsibilities.

Skills are listed as either Essential or Desirable. Desirable skills importance rating in parenthesis (1 is high, 5 is low)

Communication skills - a) oral skills b) written skills

  • Fluent in written and spoken English language - Essential
  • Being able to present results and ideas clearly to colleagues, both internally to BAS and to partners across the UK. - Desirable [3]

Computer / IT skills

  • Excellent computer programming skills. Experience with Python, Git, and HPC and/or large data analysis platforms - Essential
  • Experience working with a range of different datasets, large N-dimensional datasets, and data archives - Desirable [1]

Decision Making

  • Needs to be able to manage their own workflow, based on their findings. - Essential

Interpersonal skills

  • To work as part of a team, but also work independently. - Essential

Numerical ability

  • Strong skills in mathematics and statistics - Essential


  • A PhD degree in a quantitative subject (or equivalent) - Essential
  • Completed course(s) /qualification in computer science or machine learning related areas - Desirable [1]

Skills / Experience

  • Experience with data processing and analysis, and writing efficient and clean code. - Essential
  • A good understanding and keen interest in atmospheric/climate science. - Desirable [1]

You can apply for this job online or you can print off the application forms, fill them out by hand and mail them.

Apply Online:

Apply by post:

If you would like to apply for this job but cannot apply online, you can print the application form(s) and post it back to us.

Please ensure you complete all required sections of the application form(s) and include a Cover Letter and a copy of your CV.

When posting your application, ensure there is sufficient postage.

These forms are in an OpenDocument format and may not be suitable for users of assistive technology. An accessible format may be requested by contacting us.

Send your completed application forms to:
Human Resources Team
British Antarctic Survey
High Cross, Madingley Road
United Kingdom

If you need more information

Email: [email protected]
Telephone: +44 (0)1223 221400
Facsimile: +44 (0)1223 362616

The information you provide during the application process will only be used for the purpose of progressing your application, to fulfil legal or regulatory requirements where necessary or, in the case of the Equal Opportunities Monitoring Questionnaire, to help BAS meet its equal opportunities policy.

The British Antarctic Survey will not share the information you provide with any third parties, and the information will be held securely by the British Antarctic Survey whether the information is in electronic or physical format. Please note that the Equal Opportunities Monitoring Questionnaire will be detached from your application prior to the short-listing of candidates for interview.

Unsuccessful applications will be securely destroyed 6 months after the end of the recruitment process (or 1 year after the end of the recruitment process in the case of Marine Staff and AEP. The applications of successful applicants will be retained as part of their personnel file.

Further information can be found in the information notice of NERC, our parent body.