Spatial Data Scientist
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Position Overview & Specifications
Hybrid working (50/50)
Closing date for applications, 9th May 2023. We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early. UKCEH is looking for an experienced Spatial Data Scientist to join our 600-strong team, contributing to scientific discovery and generating the data, insights and solutions that researchers, businesses and governments need to solve complex environmental challenges. Working at UKCEH is rewarding. Our science makes a real difference, enabling people and the environment to prosper, and enriching society. We are the custodians of a wealth of environmental data, collected by UKCEH and its predecessors over the course of more than 60 years. As a valued member of our team, you’ll get:
- 27 days annual leave, rising to 29 days after five years
- 10% employer pension contribution
- Enhanced maternity and paternity leave
- 24 hour, 365-day access to support with physical, mental, social, health or financial issues
- Flexible working opportunities
- And much more.
- Working closely with pollutant fate modellers, using your skills to developing spatial and temporal datasets of the inputs of polluting chemicals into soils and freshwaters
- Where appropriate, taking part in participatory co-design of future scenarios of polluting chemical inputs with stakeholders
- Working collaboratively within the Environmental Contaminants team, with other specialists in UKCEH including hydrologists, geochemists, and ecotoxicologists, and with external partners
- Interpreting your results and communicating these to other specialists and non-specialists within and outside UKCEH
- Contributing your expertise to funding proposals, papers and reports, including as lead author
- Has a PhD or MSc/BSc with relevant experience in a relevant subject (e.g. Natural Science, Environmental Science, Geography)
- Has experience in analysing spatial data (e.g. using ArcGIS, QGIS, R and/or Python) and developing scripts/applications in a high level language (i.e., R, Python, Julia or Matlab)
- Demonstrates excellent communication and time management skills, including the ability to communicate scientific and data concepts to non-specialists
- Can integrate datasets from different sources to create derived datasets (desirable)
- Has knowledge of legacy and emerging environmental pollutants, their sources and environmental fate (desirable)
- Has familiarity with future scenarios and the tools used to develop them, for example the Shared Socioeconomic Pathways, or the Story-and-Simulation approach to scenario development (desirable)
- Understands approaches to quantify the drivers of environmental change and their outcomes, such as the DPSIR (Drivers-Pressures-State-Impact-Response) framework (desirable)
- Has prepared or contributed to research reports, papers or proposals (desirable)
- Please note that this role involves occasional attendance at international events and conferences and so a willingness to travel abroad essential to enable collaboration with partners in other countries and territories.
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Research & Development
Based on transatlantic hiring benchmarks for Spatial Data Scientist roles across Centre for Ecology & Hydrology's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Research & Development.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £34,562 - £36,556 bracket, including retirement vesting and health parity.
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