Job Description
We are recruiting a fluvial flood risk modelling officer to join our national flood risk evidence modelling service. The team supports and assures the Environment Agency’s Flood and Coastal Risk Management (FCRM) programmes to deliver our core ambition of a nation resilient to climate change. Our modelling services provide the evidence base for flood management and inform strategic decision‑making, supporting the ambitions of EA2030.
As a modelling technical officer, you’ll be responsible for advising and supporting on a range of investment, asset maintenance and flood mapping projects, ensuring that we have the appropriate evidence to support decision making.
As an officer you will continue to develop and strengthen your technical capabilities in line with our technical development framework.
Responsibilities
* Advise and guide flood risk management teams on hydraulic and hydrological modelling.
* Develop your own data management, hydraulic and hydrological modelling capabilities.
* Communicate flood risk analysis and results with internal and external stakeholders.
* Advise on appropriate tools and techniques for hydrological and hydraulic modelling approaches.
* Demonstrate positive health, safety, and wellbeing behaviours.
* Use your technical skills to support incident management.
Team
The team is part of the national Digital Data Evidence (DDE) service, within the Flood Risk and Coastal Management Department. We provide hydrology and hydraulic modelling services to help improve our understanding of flood risk and to support partnership advice, data, and analysis to guide decisions on investment, manage risk, and respond to incidents.
Qualifications
* Experience in science, flood risk and/or data management.
* Ability to analyse and process data and information.
* Good communication and customer service skills.
* Ability to influence and persuade.
* Ability to achieve results and work as part of a team.
* Ability to make decisions and solve problems.
* Awareness of health, safety and wellbeing with a commitment to Equality, Diversity and Inclusivity.
* Ability to build relationships with internal and external stakeholders.
Additional Useful Skills
* Understanding how flood risk evidence supports investment programmes and mapping projects.
* Skills in flood modelling software (e.g. Flood Estimation Handbook, Flood Modeller, TuFLOW, InfoWorks ICM).
* Skills in data processing, management, and GIS software.
Benefits
Flexibility around base office locations across England, flexible working opportunities, 27 days annual leave, 37‑hour working weeks, award‑winning Pension Fund, and a range of employee benefits.
Contact and Application
To discuss the post, please contact Emma Dauben (emma.dauben@environment-agency.gov.uk). Interviews will be held in January 2026.
Competencies
Data and Information Management – Provide an example of when you have managed data to improve reporting or decision‑making. Consider: How you ensured the information was accurate, reliable, and compliant with standards? How did you manage the data? What did you learn?
Achieves Results – Can you tell me about a time you had to deliver results under tight deadlines? How did you organise your work, ensure accuracy, and still meet the target?
Takes Decisions and Solves Problems – Can you give an example of a time you faced a difficult problem, how you analysed it, and the decision you made to solve it?
Communicates Effectively – Can you give an example when you had to explain technical information to others, and how you made sure they understood it?
Commitment to Equality, Diversity and Inclusion
We are fully committed to having a diverse and inclusive workforce. We welcome flexible working patterns for all vacancies, including job share. A Guaranteed Interview Policy supports applicants with a disability who meet the minimum criteria for the post.
Artificial Intelligence Guidance
Artificial intelligence can be a useful tool to support your application; however, all examples and statements must be truthful, factually accurate, and taken directly from your own experience. Any plagiarism or use of AI-generated content presented as your own may result in withdrawal of application.
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