Ecosystems Analyst (2 posts)

15th October 2020


JNCC’s Ecosystems Analysis team brings together three key functions to provide scientific nature conservation advise to the governments of the UK, the devolved administrations and the UK overseas territories.

Role title: Ecosystems analyst

Organisation: JNCC

Closing Date: 02/11/2020

Role Location: Peterborough

Role Description

Title Ecosystems Analyst

Grade           H

Salary         £27,946

Term One permanent post, the other fixed-term for 2 years. 

Location These posts will have based in Peterborough. Under current circumstances we can be flexible around remote working options until such time that we are able to return to the office.

The successful candidates would then be expected to be able to work from one of these locations for the first six months of their employment. Flexible and remote working options can then be considered after this period. The post-holders may be required to attend meetings at various localities in the UK, and potentially internationally, involving overnight stays away from home. 


What is JNCC?


We’re the environment’s best kept secret. Established in 1990, we’re the UK’s statutory advisor on issues affecting the natural environment across the UK and internationally. Our primary role is advising all four Governments of the UK. With most of our work being within Government, our public profile is low but our impact is high.  Our combination of scientific and analytical excellence with deep knowledge of how to facilitate joint working across jurisdictions allows us to deliver a much-valued service to the UK and other governments. 


What’s the role?


JNCC’s Ecosystems Analysis team brings together three key functions to provide scientific nature conservation advise to the governments of the UK, the devolved administrations and the UK overseas territories. Firstly, we run a suite of national species surveillance schemes in collaboration with a range of partner organisations, gathering data from citizen scientists on birds, bats, butterflies and plants using pre-determined sampling protocols, and on all other taxa from ad-hoc recording. Secondly, we work with earth observation data from satellite sensors, developing processing standards and methods to facilitate use of these data sources by our government and statutory nature conservation agency partners as well as using them ourselves for habitat mapping and natural capital assessments. Thirdly, we have an analytical and modelling capability, bringing together data on species, habitats and natural capital to inform policy making, implementation and monitoring in the UK and internationally. This is the part of the team where these roles sit.


As the post holder, you will use your analysis and modelling skills to help ensure that environmental decision making is based on the best possible evidence and data. Examples of the big policy areas that your work might feed into include designing and implementing a new system of agricultural subsidies following EU exit, helping develop monitoring strategies to assess progress against Defra’s 25 Year Environment Plan’s ambitious goal to improve the environment within a generation, and helping the UK’s Overseas Territories to understand the benefits they gain from their natural environment and manage it effectively.


You will work primarily with spatial datasets, mostly using scripting languages (e.g. R, Python) to develop efficient, repeatable methods and models, but also GIS packages (e.g. QGIS, ArcGIS) to inspect data and generate maps. As a team we use technologies such as R Markdown and GitHub to develop reproducible analytical pipelines, and we increasingly make use of the R Shiny package to develop interactive web apps to maximise the accessibility of our outputs to our customers. We’re keen to ensure our analysts have the hardware and software needed to get the job done, so in addition to capable laptops we have access to a range of cloud computing platforms for working with large datasets.


Examples of modelling approaches that we use within the team include:

  • Species distribution modelling using ensemble modelling techniques to maximise the value of our species records.
  • Natural capital modelling and mapping using environmental datasets and models such as InVEST, combined with qualitative data on management interventions and socio-economic aspects using methods such as Bayesian Belief Networks.
  • Machine learning techniques to evaluate habitat condition using satellite imagery.


Who are we looking for?


People with strong technical skills in data analysis and statistical modelling, and the ability to communicate the outputs of that analysis clearly to inform decision making, including through the creation of graphics and maps. Positive and enthusiastic about the evidence, you’ll be happy to share it, willing to spend time adapting your presentation so that it can be understood by different users, and comfortable and open about uncertainty and levels of confidence in our data.  Full details of the role are included in the job description. 




We’re small enough (c.200 staff) that you’ll know everyone by name, but big enough that we have all the skills, resources and people you’ll need to get the job done. We are flexible and welcoming, and we focus on supporting our staff with the freedom and tools they need to get their jobs done. You will benefit from our inclusive and lively workplace culture, training and CPD opportunities, excellent holiday and pension benefits, as well as an exciting job in a unique environment. 




We will assess your application against the technical skills and behaviours listed in the Post Details. 


If you are invited to interview you will also have the chance to demonstrate your technical skills in a brief test.




The closing date is 09:00 on Monday 2nd November 2020. 


Interviews are expected to take place during week commencing 16th November 2020. 


To apply please visit our website at where you can download the Application Form, Equality & Diversity Form and Job Description, and find further information on How to apply.


Please be aware that at this time interviews may take place either over the phone or by video conference. We will aim to give you a minimum of 5 days’ notice before inviting any candidate for interview but please be aware that this may not be possible, and interviews may have to be changed at short notice.