Location
Basingstoke, United Kingdom

Hours
Full Time

Salary
Negotiable

About the Role
Join AECOM’s dynamic Water team as an Associate Flood Forecasting Modeller and play a senior technical role delivering real-time flood forecasting projects. You will lead teams, develop and calibrate flood forecasting models, and contribute to expanding services with the Environment Agency and other clients. Your work will also include non-real-time hydrological modelling and analysis using industry-standard tools such as Flood Modeller, ICM, HEC-RAS, MIKE 11, and FEH hydrological methods. You will produce and review high-quality technical reports, lead tenders, mentor colleagues, and build strong client relationships. At AECOM, you will be part of a collaborative and inclusive environment with around 700 water experts across the UK and Ireland, working on projects from concept to completion that create a positive impact on communities and the environment. Enjoy career development opportunities, flexible hybrid working, and a comprehensive benefits package designed to support your well-being and work-life balance.

Experience
Significant experience in flood forecasting modelling using Flood Modeller. Strong knowledge of Environment Agency requirements, including preparing models compatible with their Incident Management Forecasting Systems. Proven ability to apply and calibrate hydrological models such as Muskingum-Cunge and Probability Distribution Model. Experience processing and analysing hydrometric data, including gauge rating reviews.

About you
Self-motivated with the ability to work autonomously and as part of a dynamic, deadline-driven team. Strong commitment, willingness to learn, and excellent analytical skills. Ability to build strong relationships with clients and colleagues. Passionate about innovation and delivering sustainable solutions.

Qualifications
Bachelor’s degree or equivalent in Civil Engineering or a relevant discipline. Strong GIS skills (QGIS, ArcGIS, and/or MapInfo). Practical knowledge of scripting languages such as Python, Anaconda, or Ruby is advantageous.