Fluvial Flood Risk Modelling Advisor

Fluvial Flood Risk Modelling Advisor – 32403 Environment Agency 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, while investing in your own development. 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 / 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 System (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 with the ability to 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. Competencies 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). Communicates Effectively: Describe how you have communicated a technical issue to enable a decision to be made. Takes Decisions and Solves Problems: Provide an example of when you have identified and delivered a solution by effectively analysing all the information. Focuses on Efficiency, Innovation and Quality: Provide an example of how you have led an innovation/efficiency to improve a service. Diversity, Inclusion and Accessibility 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, so please include any information regarding your preferred working arrangements on your application. We also have a Guaranteed Interview Policy to support those with a disability who are seeking employment. We have committed to guaranteeing an interview to anyone with a disability whose application meets the minimum criteria for the post. Artificial Intelligence Policy Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Although the Environment Agency is a non‑departmental public body sponsored by Defra, we subscribe to and align with the candidate guidance on the use of artificial intelligence found on the Civil Service Careers website. Please review for more information on appropriate and inappropriate use. Contact If you would like to discuss the post, please contact Emma Dauben (emma.dauben@environment-agency.gov.uk). Interview Process Interviews will be held in January 2026 via Microsoft Teams. #J-18808-Ljbffr