Climate Data Analyst

Forestry Commission - Forest Research

Apply before 11:55 pm on Sunday 14th July 2024

 

Details

Reference number

351591

Salary

£29,863 - £31,526
Appointments to Forest Research are made at the entry level of the salary quoted above except in exceptional circumstances where a candidate's experience and skills may justify a higher starting salary. New entrants to the civil service will be expected to start on the minimum of the pay-band. Normal pay on transfer rules apply for existing civil servants.
A Civil Service Pension with an average employer contribution of 27%

Job grade

Executive Officer
Pay Band 5

Contract type

Fixed term

Length of employment

This is a fixed term appointment until 31 March 2026 with the possibility of extension or permanency but no guarantee.

Business area

FR - Forest Management - Climate Science Research Group

Type of role

Environment and Sustainability
Science

Working pattern

Flexible working, Full-time

Number of jobs available

1

Contents

The role can be based in Alice Holt, Farnham, Surrey GU10 4LH or in the Northern Research Station, Roslin, Midlothian EH25 9SY with blended working which gives you the option to work some of the week from home, and some of the week from the workplace. You will be asked to express a location preference during the application process. Please be aware that this role can only be worked in the UK and not overseas.

Job summary

Want to work at the cutting edge of environmental science?  Passionate about making a difference and playing your part in tackling the climate and nature crisis? Forest Research (FR) is all about giving top quality evidence and advice to policymakers and practitioners to make a positive impact on the ground. Internationally recognised, we need people who have the skills and passion to work on excellent science and provide practical solutions for nature.

We’re small enough that your voice is heard, yet large enough, as part of the Forestry Commission, that we have everything on hand to get the job done, as well as a variety of career pathways.  Our staff are dedicated to their work and sharing it with others to bring positive change for our planet.  And you will find us a flexible and inclusive employer, so you can have a work life balance that is tailor-made to your circumstances. So, whether it’s climate or carbon, pests or pathogens, behaviour or biodiversity that interests you, you can be assured of a warm welcome to the team. To find out more, visit Homepage - Forest Research

The post holder will be a member of the Climate Change Research Group, within the Centre for Forest Management (FM) – one of two thematic research centres within Forest Research. FM focuses strongly on applied interdisciplinary research, to provide evidence to underpin sustainable management of Britain’s trees, woods, and forests. 

The Climate Change Research Group (CCRG) develops scientific understanding and synthesises research into practical advice relating to the management and use of trees and forests in adaptation and mitigation of climate change and the impacts of climate on forest function. The research underpins efforts to reduce risk and improve resilience of the UK forestry sector. 

The team comprises fifteen staff in science and technical roles. CCRG researchers focus on assessing resilience and understanding Green House Gases (GHG) balance of forest systems across two broad thematic work areas: 1) climate mitigation and 2) climate adaptation. The group publishes widely in a range of high impact forest science, environmental and policy related journals. The group is actively involved in UKRI funded science and training of new scientists via PhD’s. 

Job description

The group is seeking to appoint a Climate Data Analyst to undertake and support the group's research on the resilience of commercial and native forestry species to future climate change. There will be a focus on applied research and spatial data outputs with web delivery in support of modelling expertise and support to other science groups. 

The role will focus on data analysis activities working with United Kingdom Climate Projections 2018 (UKCP18) probabilistic data to inform forest modelling and decision support. The successful applicant will therefore be proficient in R or similar statistical / modelling packages with experience of handling, analysis, and classification of environmental datasets (e.g., historic Met Office data and UKCP18 projections). They will be expected to develop data warehousing and data product delivery, including coding, spatial representations, and web portal integration. 

The successful applicant will be expected to:

  • Work independently and as part of a team
  • Deliver supporting data services to externally funded projects involving liaison with external teams
  • Develop and improve forestry focussed analysis of existing meteorological and environmental data products
  • Develop R procedures for climate data analysis and synthesis and underpin probabilistic risk analysis
  • Be familiar with Python/R to enable for data/model integration into online web-portals
  • Manage, share and archive code and data responsibly for quality assurance purposes and to facilitate research collaboration
  • Work with colleagues to support the development of novel spatial landscape decision making tools
  • Contribute to the production of written reports to research funders and peer-reviewed publications in collaboration with colleagues and project partners
  • Liaise with colleagues to develop realistic work schedules; carefully plan and monitor time allocation across projects
  • Keep up to date with major developments in the field of spatial data integration.

Person specification

Essential criteria:

  • BSc in an environmental, mathematical, or computing subject with ability to demonstrate an aptitude for problem solving, data management and analysis or equivalent experience
  • Extensive experience of computing languages to underpin data analysis, implementation of forest ecosystem simulators and geospatial decision support systems (R, Python)
  • Knowledge of web development frameworks (RShiny, FastAPI, Flask) and front-end languages HTML/Javascript
  • Knowledge of source code control tools (Github)
  • Knowledge of GIS tools, for desktop analysis (QGIS, ArcGIS) and web-based dissemination using RShiny
  • Experience of managing scientific datasets

Desirable Criteria:

  • Knowledge of forest ecosystems and/or working with environmental data
  • Knowledge of model fitting techniques
  • Knowledge of geospatial/relational databases and SQL (PostGIS)
  • High standard of verbal and written communication to include technical report writing and supporting preparation of scientific papers

Behaviours

We'll assess you against these behaviours during the selection process:

  • Managing a Quality Service
  • Working Together
  • Delivering at Pace
Alongside your salary of £29,863, Forestry Commission - Forest Research contributes £8,063 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides.

Your career

  • Excellent professional development opportunities which are tailored to your role, with paid professional membership subscriptions, mentoring, and Civil Service Learning available to all
  • access to world class laboratory facilities, as well as state of the art buildings within forest or science park settings

Your work/life balance

  • flexible working options such as: up to two days flexi leave per month, blended working, part-time working, paid special leave, career breaks, and unpaid leave. Parents and carers will be supported to enable you to manage work and family responsibilities
  • generous annual leave allowance of 25 days on entry increasing by 1 day each year to a maximum of 30 days (pro-rata for part-timers). Plus 2.5 days of additional leave and 8 days’ paid bank/public holidays

Your wellbeing

  • A culture which promotes a diverse and inclusive work environment
  • A range of wellbeing benefits including Employee Assistance Programme 24/7
  • We want you to feel part of something bigger and we encourage a community feel in our workplaces, with everything from cookery competitions to Pilates and fell running, plus topical talks at Wellbeing Wednesdays and Feelgood Fridays
  • Paid volunteering leave of 3 days per year so you can give back to your community and charitable causes by sharing your skills and time

Your benefits

  • a highly competitive Civil Service Pension where employer contributions starting at  26% of your salary
  • an employee benefits scheme offering discounts on groceries, gym memberships, holidays, days out, online retailers and high street shops
  • Cycle to Work scheme and Interest free loans
  • Free parking is offered on-site, alongside electric car charging ports
  • With maternity, adoption, and/or shared parental leave there’s the flexibility to have up to 26 weeks full pay, followed by 13 weeks statutory pay and a further 13 weeks unpaid leave. Paternity leave of up to two weeks is available with full pay.

Any move to Forest Research from another employer will mean you can no longer access childcare vouchers. This includes moves between government departments. You may however be eligible for other government schemes, including Tax-Free Childcare. Determine your eligibility at https://www.childcarechoices.gov.uk/.

Selection process details

This vacancy is using Success Profiles (opens in a new window), and will assess your Behaviours and Experience.

Sift Date:          Week commencing 15 July 2024 
Interview Date: Week commencing 29 July 2024

If a large volume of applications is received, then we will sift on Experience/Technical Expertise and the Lead Behaviour, Managing a Quality Service.  However, candidates will be expected to answer questions on all behaviours at the interview stage.  

Candidates invited to interview will be asked to complete a short technical test.

Candidates who are judged to be a near miss at interview may be considered for other positions in Forest Research which may be at a lower grade but have a potential skills match.

Diverse perspectives and experiences are critical to our success and we welcome applications from all people from all backgrounds with the experience and skills needed to perform this role.

If a person with disabilities is put at a substantial disadvantage compared to a non-disabled person, we have a duty to make reasonable changes to our processes.

Complete the “Assistance required” section in the “Additional requirements” page of your application form to tell us what changes or help you might need further on in the recruitment process. For instance, you may need wheelchair access at interview, or if you’re deaf, a Language Service Professional.



Feedback will only be provided if you attend an interview or assessment.

Security

Successful candidates must undergo a criminal record check.
People working with government assets must complete baseline personnel security standard (opens in new window) checks.

Nationality requirements

This job is broadly open to the following groups:

  • UK nationals
  • nationals of the Republic of Ireland
  • nationals of Commonwealth countries who have the right to work in the UK
  • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
  • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
  • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
  • Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service
Further information on nationality requirements (opens in a new window)

Working for the Civil Service

The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants.

We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window).
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.

Diversity and Inclusion

The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window).
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative.
The Civil Service welcomes applications from people who have recently left prison or have an unspent conviction. Read more about prison leaver recruitment (opens in new window).
Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.

Contact point for applicants

Job contact :

  • Name : hr.services@forestresearch.gov.uk
  • Email : hr.services@forestresearch.gov.uk

Recruitment team

  • Email : hr.services@forestresearch.gov.uk

Further information

Our recruitment process is underpinned by the principle of appointment on the basis of fair and open competition and appointment on merit, as outlined in the Civil Service Commissioners’ Recruitment Principles. If you feel your application has not been treated in accordance with these principles and you wish to make a complaint, you should in the first instance contact FR HR Services by email: hr.services@forestresearch.gov.uk you are not satisfied with the response you receive, you can contact the Civil Service Commission, which regulates all Civil Service recruitment.

Attachments

CS_Behaviours_2018 Opens in new window (pdf, 1043kB)

Share this page