Fluvial Flood Risk Modelling Advisor – 32403
Join to apply for the Fluvial Flood Risk Modelling Advisor – 32403 role at Environment Agency. You will be part of our national flood risk evidence modelling service supporting the Environment Agency’s Flood and Coastal Risk Management (FCRM) programmes.
Job Description
We are recruiting a fluvial flood risk modelling advisor 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.
Responsibilities
* Advise flood management teams on hydraulic and hydrological modelling; providing expert technical input and professional support.
* Actively nurture talent, foster collaboration, and create a continuous learning environment where professional growth is prioritised.
* Communicate flood risk analyses and uncertainty to internal and external stakeholders.
* Advise on appropriate tools and techniques for hydraulic and hydrological modelling approaches.
* Showcase a positive health, safety, and wellbeing culture.
* Foster innovation to become more efficient and sustainable.
* Use your technical skills to support incident response.
Experience and Skills Required
* Expert knowledge in flood modelling and hydrology.
* Experience with flood modelling software such as Flood Estimation, Guidelines, Flood Modeller, TuFLOW, InfoWorks ICM.
* Experience in data processing and management, and geographic information systems (GIS) software packages.
* Mentoring and coaching skills, and a commitment to continuous development.
* Ability to work individually and as part of a team to take decisions and solve problems.
* Strong communicator who can explain complex issues and build effective stakeholder relationships.
* Positive health, safety and wellbeing behaviours with a commitment to Equality, Diversity and Inclusivity.
* Influencing and persuading skills.
* Ability to build relationships with internal and external stakeholders.
It would also be useful to have some understanding of how flood risk evidence supports flood risk management investment programmes and mapping projects.
Competences
Competence 1 – Numerical Modelling and Forecasting
Describe a time you have used your technical skills and experience to build, develop, or review a flood model (hydrological, real‑time or non‑real‑time).
Competence 2 – Communicates Effectively
Describe how you have communicated a technical issue to enable a decision to be made.
Competence 3 – Takes Decisions and Solves Problems
Provide an example of when you have identified and delivered a solution by effectively analysing all the information.
Competence 4 – Focuses on Efficiency, Innovation and Quality
Provide example of how you have led an innovation/efficiency to improve a service.
Contact and Additional Information
We are a national team so there is flexibility around base office locations across England. We support flexible working; however, some national travel and attendance at in‑person meetings will be required on occasion in line with business need. Your answers to the capability questions will be used to determine interview selection. Interviews will be held in January 2026 via Microsoft Teams. If you would like to discuss the post, please contact Emma Dauben (emma.dauben@environment-agency.gov.uk).
Diversity, Inclusion and AI Policy
We are fully committed to having a diverse and inclusive workforce to reflect the communities we serve. We welcome flexible working patterns for all our vacancies, including job share. We also have a Guaranteed Interview Policy to support those with a disability who are seeking employment. You are required to provide truthful, factually accurate examples. Artificial intelligence can be a useful tool to support your application, but all examples must be truthful and not plagiarised. The Environment Agency subscribes to the candidate guidance on AI use found on the Civil Service Careers website.
#J-18808-Ljbffr