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- Tasks: Develop data products to analyse and communicate environmental policy impacts.
- Company: Join a dynamic team within Defra's Environment Science and Analysis division.
- Benefits: Engage in meaningful work with opportunities for professional growth and collaboration.
- Why this job: Make a real difference in environmental policy using innovative spatial data science.
- Qualifications: Experience with spatial data and strong analytical skills required.
- Other info: Fast-paced environment with multi-disciplinary teamwork and impactful projects.
The predicted salary is between 36000 - 60000 £ per year.
This role is in the core spatial data science team, part of the Environment Science and Analysis division. The division provides cross-cutting analytical support to a wide range of Defra’s environmental policy areas, and the spatial data science team uses innovative approaches to provide insight into complex spatial problems across Defra. As a team, our work feeds into critical environmental policy areas, including but not limited to developing modelling and analysis to understand the implications of new policy on land use, developing new geographical indicators, such as the access to green and blue space statistics, providing ad hoc spatial analysis, and working with external partners on research.
Working with both Defra and cross-government policy teams, our work is often fast-paced and provides opportunities to engage with a range of teams and disciplines. We are always looking for opportunities to improve the impact of our analysis. We champion the use of geography and spatial data science across government, promoting good practice and developing innovative ways of working with large and complex spatial data.
ResponsibilitiesThe SEO spatial data scientist role will work closely with policy and other evidence teams to help understand their evidence needs and formulate appropriate analytical approaches. The main focus of the role will be to develop data products to support a range of emerging policy areas, helping to better understand and communicate the potential impact of future policies on the environment and economy.
Qualifications- Experience of working with spatial data and applying data science and analytical skills to complex environmental problems.
- Ability to work in fast-paced and emerging requirements and across multi-disciplinary teams.
- Willingness to engage with policy and other evidence teams to understand their needs and formulate analytical approaches.
Spatial Data Scientist in Newcastle upon Tyne employer: Government Recruitment Service
Contact Detail:
Government Recruitment Service Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Spatial Data Scientist in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the spatial data science field, especially those connected to Defra. Attend events, join online forums, and don’t be shy about asking for informational interviews – it’s all about making connections that could lead to opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your spatial analysis projects. Use platforms like GitHub or even a personal website to display your work. This gives potential employers a taste of what you can do and how you tackle complex environmental problems.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of current environmental policies and how spatial data science plays a role in them. Be ready to discuss how your analytical skills can contribute to understanding and communicating the impact of these policies.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can bring innovative approaches to our team. Make sure your application stands out by tailoring it to highlight your experience with spatial data and your passion for environmental issues.
We think you need these skills to ace Spatial Data Scientist in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Spatial Data Scientist role. Highlight your experience with spatial data and analytical skills, and show how they align with the responsibilities mentioned in the job description.
Showcase Your Skills: Don’t just list your qualifications; demonstrate them! Use specific examples from your past work that showcase your ability to tackle complex environmental problems using spatial analysis and data science techniques.
Engage with Our Mission: We love candidates who resonate with our mission at StudySmarter. In your application, express your enthusiasm for contributing to environmental policy and how you can help improve the impact of our analysis.
Apply Through Our Website: For a smooth application process, make sure to apply through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at Government Recruitment Service
✨Know Your Spatial Data
Make sure you brush up on your knowledge of spatial data and its applications in environmental science. Be ready to discuss specific examples where you've used spatial analysis to solve complex problems, as this will show your practical experience and understanding of the role.
✨Understand the Policy Landscape
Familiarise yourself with current environmental policies and how they relate to spatial data. Being able to discuss recent developments or challenges in this area will demonstrate your engagement with the field and your ability to think critically about the implications of policy changes.
✨Showcase Your Analytical Skills
Prepare to talk about your analytical approaches and methodologies. Bring examples of data products you've developed or projects you've worked on that highlight your skills in data science and modelling, especially in relation to environmental issues.
✨Engage with Multi-Disciplinary Teams
Since the role involves working across various teams, be ready to discuss your experience collaborating with different disciplines. Highlight any instances where you've successfully communicated complex data insights to non-technical stakeholders, as this will showcase your teamwork and communication skills.
