Data Scientist

  • NERC
  • Nottingham, UK
  • 27/04/2022
Full time Data Science Data Analytics Artificial Intelligence Software Engineering jobs

Job Description

Job details

Salary
£25,702 - £27,938 a year
Job type
Full-time

Full Job Description

Data Scientist
UKRI – NERC – BGS
Location: This role can be based at the BGS headquarters in Keyworth in Nottingham or at our offices in either Edinburgh or Wallingford in Oxfordshire
Grade: Either UKRI Pay Band C or UKRI Pay Band D (depending on qualifications and experience)
Salary: Pay Band C salary is £25,702 to £27,938 per annum and Pay Band D salary is £31,931 to £34,709 per annum
Hours: Full-time – 37 hours a week
A range of flexible working options may be available (including some hybrid/remote working which BGS is currently trialling)
Contract type: Permanent appointment
Closing date: 23rd May 2022

About us
The British Geological Survey (BGS) is an applied geoscience research centre that is part of UK Research and Innovation (UKRI) and is affiliated to the Natural Environment Research Council (NERC). It is a world leading geological survey whose core mission is to inform government of science related to the subsurface and to undertake applied research to solve earth and environmental issues, both in the UK and globally. It is funded directly by UKRI, as well as through research grants and private sector contracts.

BGS has an annual budget of approximately £60 million and employs 650 people. It has two main sites: a head office in Keyworth near Nottingham, and the Lyell Centre, which is a joint collaboration with Heriot Watt University in Edinburgh. BGS works with more than 150 private sector organisations, has close links with 40 universities, and sponsors approximately 100 PhD students each year.

We are committed to promoting equality and diversity across our organisation in order to continuously improve our scientific and organisational effectiveness. As such, we aim to have a workforce with employees from all backgrounds with people who are passionate about earth science and who share our commitment to work for the good of the environment and the benefit of society.

We will actively seek to avoid discrimination on the grounds of age, disability, race, sex or sexual orientation, being trans or a member of the non-binary community, being married or in a civil partnership, being pregnant or on maternity leave or religion.

The British Geological Survey has achieved Bronze status for Athena SWAN – a scheme that recognises an organisation’s commitment and progress in developing a diverse and inclusive workforce; we are also committed to the Disability Confident framework and, as part of UKRI, are members of Inclusive Employers.

The BGS Digital function are looking for a highly motivated and enthusiastic Data Scientist to join the data analytics and processing group. The successful candidate could be based in either Keyworth, Edinburgh or Wallingford. The post is full-time and offered as a permanent appointment.

About the role

This post focusses on the development and application of data science and statistical tools within multidisciplinary teams to tackle global environmental and sustainability challenges related to the geosciences. These challenges have a global scope and include the development of approaches to reduce emissions from energy production by decarbonisation, to adapt to environmental change and to build resilience to natural hazards.

You will contribute to a range of statistical and data science projects work alongside researchers addressing science challenges across BGS and also with external collaborators. The projects will include methodological research to build capacity, the analysis of specific earth science and environmental data sets in the context of wider studies and the development of workflows to automate these analyses. You will be encouraged to disseminate your work via peer-reviewed publications and open source software tools.

This is an exciting opportunity to join a growing team who are undertaking environmental science research utilising innovative data science and statistical techniques, developing open source software and contributing to open datasets. Current research expertise within the team includes machine learning, deep learning, geostatistics and time series analyses.

You will work across varied and often multi-disciplinary project teams and provide the expertise required to develop, apply and advise on the use of data science and statistical methods, and other mathematical and analysis techniques. You will present the results of your analyses to a range of stakeholders.

You will be expected to have a role in the development of data analysis capability more generally within the organisation, and in collaboration with other academic and industrial partnerCriteria to be assessed at Shortlist ‘S’ and Interview ‘I’ Stage

Skills Specification - Criteria to be assess at Shortlist 'S' and Interview 'I' Stage

QUALIFICATIONS

Essential

  • Postgraduate qualification with major data science or statistics component or equivalent research experience (Band C) [S]
  • PhD with major data science or statistics component or equivalent research experience (Band D) [S]

EXPERIENCE

Essential

  • Experience of performing scientific research and computation in a repeatable manner [I]
  • Experience of interpreting scientific data to deliver new knowledge, solve problems or make products. [I]
  • Experience of multi-disciplinary research particularly in an earth science or environmental context [S]

Desirable

  • Experience of using repositories for source control and/or git workflows [S]
  • Experience of using high performance and cloud computing including Kubernetes [S]
  • Authorship of peer-reviewed publications. [S]
  • Experience of contributing open-source projects or software [S]

KNOWLEDGE

Essential

  • Broad knowledge and experience of a range of data science and/or statistical methodologies relevant to the analysis of earth science data [S & I]
  • Advanced expertise in application of a specific statistical and/or data science methodology relevant to the analysis of earth science data (Band D) [I]
  • An appreciation of how data management and data versioning procedures and how they can lead to repeatable research and successful open publications. [I]

Essential

  • Knowledge of geoscience and environmental research [S,I].

SKILLS & ABILITIES

Essential

  • Skilled in programming and performing data analyses in R, Python, Matlab or similar environments [S, I]
  • Ability to identify, adapt and extend appropriate statistical/ data science methodologies to address specific scientific questions [I]
  • Ability to visualize data and to communicate statistical/ data science concepts and solutions to non-experts [I]
  • Ability to deliver statistical/ data science outputs according to the specifications and timescales required by collaborators and customers [S, I]

PERSONAL QUALITIES

Essential

  • Flexibility, willingness to travel between BGS sites as required [I]
  • Able to work in a team and to cooperate effectively across disciplines [I]

MOTIVATION

Essential

  • Displays an enthusiasm for the work of BGS, their science/their role, and a desire to develop this further [S]
  • Demonstrates curiosity and a drive to resolve scientific problems [I]

If you experience any issue applying, please contact Resourcing@careersportal.co.uk

About The British Geological Survey (BGS)
The British Geological Survey (BGS) is an applied geoscience research centre that is part of UK Research and Innovation (UKRI) and affiliated to the Natural Environment Research Council (NERC). It is a world leading geological survey that provides a core science mission to inform government of science related to the subsurface and its interfaces and also undertakes applied research for solutions to earth and environmental processes, both in the UK and globally. It is funded directly by UKRI as well as through research grants and via private sector contracts.
BGS has an annual budget of approximately £60 million and employs 650 people. It has two main sites, a head office in Keyworth near Nottingham and the Lyell Centre, which is a joint collaboration with Heriot Watt University in Edinburgh. BGS works with more than 150 private sector organisations as well as having close links with 40 universities and sponsors approximately 100 PhD students each year.
 
How to Apply
Online applications only preferred for this role. Please submit your CV and a covering letter which clearly outlines how you fulfil the criteria specified along with your motivation for BGS and the role you’re applying for. Ensure that the job reference number is included in the filename description of each document uploaded. Note that failure to address the above criteria or submit your application without a covering letter may result in your application not being considered. You will only be assessed on the content of your CV and covering letter and not the ‘experience’ section of the application.
 
About UKRI
Launched in April 2018, UKRI is a non-departmental public body sponsored by the Department for Business, Energy and Industrial Strategy (BEIS).
Our organisation brings together the seven disciplinary research councils, Research England, which is responsible for supporting research and knowledge exchange at higher education institutions in England, and the UK’s innovation agency, Innovate UK to create an independent organisation with a strong voice for research and innovation, and a vision to ensure the UK maintains its world-leading position in research and innovation. More information can be found at www.ukri.org.
Choosing to come to work at UKRI means that you will have access to a whole host of benefits from a defined benefit pension scheme, excellent holiday entitlement, access to employee shopping/travel discounts and salary sacrifice cycle to work scheme. For more details, visit benefits of working for UKRI.
 
How we support EDI in the workforce
At UKRI we believe that everyone has a right to be treated with dignity and respect, and to be provided with equal opportunities to flourish and succeed in an environment that enables them to do so. We also value diversity of thought and experience within inclusive groups, organisations and the wider community. For further information, please visit ‘How we support EDI in the workforce’
 
Disability Confident Employer
As users of the disability confident scheme, we guarantee to interview all disabled applicants who meet the minimum criteria for the vacancy/ies. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.