Data Scientist (Machine Learning) – Cambridge

Job reference:
BAS 49/19
Contract type:
Full Time
Duration:
Fixed-Term Appointment (1 year)
Salary:
Starting from £30,357 per annum.
Benefits:
We offer generous benefits
Team:
British Antarctic Survey
Location:
Cambridge
Closing date:
28 April, 2019 11:59 pm

Description

The British Antarctic Survey (BAS) is looking for a Data Scientist to join the Atmosphere, Ice and Climate team.

The successful candidate will have experience with data processing and analysis and writing efficient code. You will need strong skills in mathematics, statistics and computer programming, with experience using Python, Git and Machine Learning packages.

Purpose

To work with environmental scientists and engineers to apply machine learning algorithms on pre-existing datasets.

Qualification

A Master’s degree in a quantitative subject (or equivalent).

Duties

* Pre-processing data, including satellite imagery and 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
* Manage code on GitHub (or equivalent)
* Any other duties as required by the Director


On-line application forms and further information are available on our website at www.bas.ac.uk/vacancies.

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 49/19

Closing date for receipt of application forms is: 28th April 2019
Interview date: 10th May 2019
Proposed start date: As soon as possible

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 part-time or full-time employment as well as flexible hours due to caring or other commitments.

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. - Desirable [3]

Computer / IT skills

  • Excellent computer programming skills. - Essential
  • Experience with Python, Git, & Machine Learning packages. - Essential
  • Experience working with Computer Vision OR Regression algorithms - 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

Qualifications

  • A Master’s degree in a quantitative subject (or equivalent) - Essential
  • Completed course(s) /qualification in machine learning - Desirable [3]

Skills / Experience

  • Experience with data processing and analysis, and writing efficient code - Essential
  • A good understanding and keen interest in environmental sciences. - 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
CAMBRIDGE
CB3 0ET
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.