Fluvial Flood Risk Modelling Officer

1 day ago Be among the first 25 applicants 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. 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. About the Team The team is part of the national Digital Data Evidence (DDE) service, within Flood Risk and Coastal Management Department. We provide hydrology and hydraulic modelling service to help improve our understanding of flood risk. Working with partners, we provide expert advice, data, and analysis to support flood management. Our modelling shows where and how flooding could affect communities, giving evidence to guide decisions on investment, managing risk, and responding to incidents. Experience & Skills Required 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. It Would Also Be Useful To Understand how flood risk evidence supports investment programmes and mapping projects. Have skills in flood modelling software (e.g. Flood Estimation Handbook, Flood Modeller, TuFLOW, InfoWorks ICM). Have skills in data processing, management, and GIS software. Contact and Additional Information The Environment Agency offers flexible working opportunities, 27 days annual leave, a 37‑hour working week, award‑winning Pension Fund, and other employee benefits. Interviews will be held in January 2026. If you would like to discuss the post, please contact Emma Dauben (emma.dauben@environment-agency.gov.uk). We are fully committed to having a diverse and inclusive workforce and welcome flexible working patterns for all vacancies. Our Guaranteed Interview Policy supports those with a disability whose application meets the minimum criteria for the post. Competence 1: Data and Information Management Describe 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? Competence 2: Achieves Results Describe a time you had to deliver results under tight deadlines. How did you organise your work, ensure accuracy, and still meet the target? Competence 3: Takes Decisions and Solves Problems Describe a time you faced a difficult problem, how you analysed it, and the decision you made to solve it. Competence 4: Communicates Effectively Describe an example of when you had to explain technical information to others, and how you made sure they understood it. Senior Level Associate Employment Type Full‑time Job Function Finance and Sales Additional Notes For applicants currently working in local government or other bodies listed in the relevant orders, you may be eligible for continuous service for the purpose of calculating any future redundancy payment. Artificial intelligence may be used to support your application, but all examples and statements must be truthful and taken directly from your own experience. Plagiarism or misusing AI content may result in withdrawal of application and disciplinary action. #J-18808-Ljbffr