Data Scientist
England-Nottinghamshire-Nottingham
Full Time Entry-level / Junior Clearance required GBP 31K - 42K
UK Research and Innovation
UKRI convenes, catalyses and invests in close collaboration with others to build a thriving, inclusive research and innovation system.Description
British Geological Survey
DATA SCIENTIST
Grade: UKRI Pay Band C/S1 (or potentially Pay Band D/S1 depending on skills and experience)
Salary: C/S1 salary is £31,212 per annum (D/S1 salary, which is £42,840 per annum, may be payable to applicants who can also meet the Band D criteria set out in this advert)
A great benefits package is offered!, including an outstanding pension scheme (with an extremely generous employer contribution – on average 27% of your pay), 30 days annual leave plus bank holidays
Contract Type: Permanent
Hours: Full-time – 37 hours a week (some flexible working options may be available, including a small amount of remote working, in line with BGS policy)
Location: BGS headquarters in Keyworth in Nottingham or BGS offices in Edinburgh
Closing date: Monday 25 November 2024
About the role
The BGS Informatics Research Team are looking for a highly motivated and enthusiastic Data Scientist to join their Data Science and Statistics Team.
This exciting role focusses on the development and application of data science and statistical tools within multidisciplinary teams to tackle global, environmental, and sustainability geoscience challenges. These 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 assist with a range of statistical and data science projects relating to Informatics in BGS and work alongside researchers addressing science challenges and with external collaborators. The projects will include methodological research to build capability, 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 and to apply them at scale. We will encourage you to disseminate your work via peer-reviewed publications and open-source software tools.
This is a growing team who are undertaking environmental science research utilising innovative data science and statistical techniques, developing open-source software and assisting with 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 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 partners. Other key duties/responsibilities will include:
- Development and application of software code for data science technologies (AI, Machine Learning, Deep Learning) and /or statistical modelling to scientific problems.
- To develop BGS expertise in high performance computing.
- Assist with the development of funding proposals in collaboration with other BGS staff.
About you
Have you graduated with a master’s degree or PhD with a relevant applied data science or statistics focus or have the equivalent research work experience? You will be enthusiastic to apply your technical skills within varied projects addressing earth science and environmental questions.
We are looking for an excellent communicator, both verbally and in writing and be able to communicate statistical concepts to non-scientists. The post will involve multidisciplinary team working and you will therefore be able to work optimally with scientists in different fields. As part of the community of data scientists and statisticians in BGS, you will be expected to share your knowledge and input to the development of new research ideas and projects.
The work will be mostly UK based but you may be required to work overseas for short periods of time. You will also occasionally need to be able to travel between the BGS offices in the UK.
You will be motivated to develop your career and your reputation as an applied data scientist through the publication of papers and software, presentation of your work at international conferences and in the development of proposals for research projects.
Please note – you will be required to have the appropriate level of security screening/vetting required for the role. UKRI reserves the right to run or re-run security clearance as required during your employment.
The additional specific essential and desirable skills criteria for this post will be assessed at Shortlist (S) stage, interview (I) stage, or both (S&I).
Essential
- A postgraduate qualification with major applied data science or statistics component or equivalent research experience (S) (for Band C)
- OR
- In addition to the Band C criteria, a PhD with major applied data science or statistics component or equivalent research experience (S) (for Band D)
- Experience of performing scientific research, computation and interpreting data in a repeatable manner to deliver new knowledge, solve problems or make products. (S&I) (for Band C/D)
- Broad knowledge and experience of a range of data science and/or statistical methodologies relevant to the analysis of earth science data and can demonstrate ability to identify, adapt and extend them to address specific scientific questions (S&I) (for Band C)
- OR
- In addition to the Band C criteria, advanced expertise in application of a specific statistical and/or data science methodology relevant to the analysis of earth science data and can demonstrate ability to identify, adapt and extend it to address specific scientific questions (S&I) (for Band D)
- Skilled in programming and performing data analyses in R, Python, (or similar), including an appreciation of data management/versioning procedures to deliver repeatable research (S&I) (for Band C/D)
- Demonstrates curiosity in the work of BGS and environmental sciences and can show how their expertise is applicable to solving problem in these fields (S&I) (for Band C/D)
- Flexibility, and a willingness/ability to travel between BGS sites as required (I) (for Band C/D)
- You will be committed to a diverse and inclusive approach to work in the geosciences (I) (for Band C/D)
Desirable
- Authorship of peer-reviewed publications (S) (for Band D)
- Demonstrates the ability to work in a team and to participate effectively across subject areas (I) (for Band C/D)
- Experience of using high performance computing facilities (I) (for Band C/D)
About us
The British Geological Survey (BGS) is an applied geoscience research centre that belongs to 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 advise 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.
We strive to promote equality and diversity across our organisation in order to continuously improve our scientific and organisational efficiency! 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 dedication to work for the good of the environment and the benefit of society. BGS became a signatory of the Technician Commitment in July 2022.
How to apply
If you experience any issues applying for this role, please contact Recruitment@ukri.org.
The closing date for receipt of applications is Monday 25 November 2024. Interviews are expected to be held in early December 2024 in Nottingham.
Qualifications
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 UKRI launched in April 2018, UKRI is a non-departmental public body sponsored by the Department for Science, Innovation and Technology (DSIT). 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 UK Research and Innovation (UKRI). The role holder will be required to have the appropriate level of security screening/vetting required for the role. UKRI reserves the right to run or re-run security clearance as required during the course of employment. 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.Primary Location
: England-Nottinghamshire-NottinghamOther Locations
: Scotland-City of Edinburgh-EdinburghJob
: Scientific ComputingOrganization
: NERC - British Geological SurveyContract Type: Open EndedUnposting Date
: 25-11-2024Hours: Full-timeSalary (Pay Basis)
: Pound Sterling (GBP)31,212.00Band UKRI: UKRI-Band C S1Additional Band: UKRI-Band D S1Tags: Data analysis Data management Deep Learning HPC Industrial Machine Learning Open Source PhD Python R Research Security Statistics Survey data Travel
Perks/benefits: Career development Conferences Equity / stock options Flex hours Travel
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