Data Science Senior Adviser - London, United Kingdom - Natural England

Natural England

Verified Company

London, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

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Description

Details:

Reference number:

Salary:

- £33,736
Job grade:

Senior Executive Officer
Senior Adviser
Contract type:
Permanent
Type of role:
Environment and Sustainability
Working pattern:
Fulltime, Job share, Parttime
Number of jobs available:
1Contents

Location

About the job

Benefits:

Things you need to know

Location

East Midlands (England), East of England, London (region), North East England, North West England, South East England, South West England, West Midlands (England), Yorkshire and the HumberAbout the job

Job summary:

This position is based at Ashford (Kent), Bridgwater, Bristol, Cambridge, Crewe, Eastleigh, Exeter, Kendal, Leeds, Lincoln, London, Manchester, National, NewcastleuponTyne, Norwich, Nottingham, Penrith, Peterborough, Reading, Telford, Truro, Wallingford, Worcester, Worthing, York
Job description:

Do you have a passion for nature and the environment? Do you want to make a real difference and secure significant environmental gains in the present and the future? Do you enjoy working in a team? Can you see yourself advising communities and customers to maximise gains for the Natural Environment?

If this appeals to you, a career at Natural England offers rewarding opportunities to secure environmental improvements and play your part in creating a better future for people and nature.

The priority work Natural England is delivering includes:

Establishing a Nature Recovery Network to help wildlife thrive;
Monitoring environmental changes to identify and help reduce the effects of climate change;
Working with farmers and landowners to develop greener food production methods;
Advising on plans for new developments to maximise gains for nature, and
Providing ways for people to better connect with nature, including green social prescribing.

We are the Government's Adviser for the natural environment, playing a vital role in delivering the Government's 25 Year Environment Plan, an ambitious vision which brings new opportunities to protect and enhance and to achieve real outcomes for the environment.

Job description

Species distribution modelling plays an important part in many projects across Natural England. We create models correlating observations and environmental predictors by integrating observation data from multiple sources.

These ecologically-focussed models predict suitable habitat for multiple species, feeding into connectivity analysis, risk and alert zones, and strategic opportunity mapping.

Colleagues and stakeholders utilise this range of products to inform strategies and policies that improve the conservation of protected species, such as great crested newt, dormice, and water voles.

Connectivity analysis identifies corridors to repair fragmented landscapes and accelerate dispersal and colonisation.

The post holder will lead the regular production of statistical models to feed into conservation strategies and policy. This will include coordinating the responsible management and documentation of data both throughout its lifecycle and between different teams.

Further, the post holder will utilise their technical expertise to inform data interpretation and the understanding of data quality, while also supporting the presentation and communication of results to internal and external stakeholders.

As a Senior Adviser, the post holder will work with others across the team and organisation to identify strategic opportunities for improvement, development, and integration of our evidence services to anticipate and meet the changing evidence needs of the organisation.

The post holder will:

Develop and fit ensemble models in R to predict the occurrence of species across different geographic areas
Produce and improve connectivity analysis to identify species dispersal potential and conduct metapopulation impact assessments
Develop spatial and temporal statistics based on species observations and survey results, correlating these with modelling predictive layers and outputs
Develop and produce stratified random sampling strategies
Explore the potential use and implementation of alternative datasets in supplementing or adding value to existing analytical processes and outputs
Contribute to and implement solutions within a cloudbased environment
Contribute technical expertise to the development of strategy for species distributions modellingbased delivery, the development of stakeholder relationships, and integration with other strategic environmental improvement projects
Provide modelling and statistical expertise to wider Data Science Services team projects
Provide mentoring and technical training to members of the Data Science Services team and wider Natural England colleagues
Communicate and present technical work including analytical methodology, results and opportunities to internal and external audiences with varied technical experience

Benefits
Wherever possible N