Data Scientist

British Antarctic Survey

Cambridge, , GB


The British Antarctic Survey’s AI Lab is offering a unique opportunity as a Data Scientist.

What is the role about?

The role involves applying machine learning tools to reduce uncertainties in future water security.

Who are we?

British Antarctic Survey (BAS) delivers and enables world-leading interdisciplinary research in the Polar Regions. Its skilled science and support staff based in Cambridge, Antarctica and the Arctic, work together to deliver research that uses the Polar Regions to advance our understanding of Earth as a sustainable planet. Through its extensive logistic capability and know how BAS facilitates access for the British and international science community to the UK polar research operation. Numerous national and international collaborations, combined with an excellent infrastructure help sustain a world leading position for the UK in Antarctic affairs. British Antarctic Survey is a component of the Natural Environment Research Council (NERC). NERC is part of UK Research and Innovation

We employ experts from many different professions to carry out our Science as well as to keep the lights on, feed the research and support teams and keep everyone safe! If you are looking for an opportunity to work with amazing people in amazing places then British Antarctic Survey could be for you. We aim to attract the best people for those jobs.


The British Antarctic Survey (BAS) has recently established an Artificial Intelligence (AI) Lab ( to foster the application of various machine learning (and adjacent) techniques to the rapidly growing, complex, and heterogeneous body of data found in atmospheric, oceanic, and Earth sciences

The purpose of this job is to work with environmental scientists and engineers within the AI Lab and BAS to apply machine learning algorithms to detect changes in Himalayan glaciers and impacts on water security.


A PhD in a quantitative subject (or equivalent)


  • Exploring and pre-processing available satellite, model and in situ datasets on the distribution and variability of Himalayan glacier ice and precipitation, including large N-dimensional gridded products
  • Applying and optimising machine learning algorithms
  • Liaising with BAS environmental scientists and machine learning engineers at The Alan Turing Institute (ATI)
  • Develop proof-of-concept studies to help support large grant proposals
  • To publish papers, either as the lead author or as co-author
  • Manage code on GitHub (or equivalent)
  • Any other duties as required by the Director

Please quote reference: BAS 20/45
Closing date for receipt of application forms is: 22 March 2020
Interviews are scheduled to be held: 31 March 2020

Starting date: May 2020

AS 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.