Location
Leeds

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 leading teams to deliver real-time flood forecasting projects. You will help expand our services with the Environment Agency and other clients, working primarily on flood forecasting but also engaging in wider hydrology and non-real-time modelling projects. Your responsibilities will include producing and reviewing Flood Forecasting Inception Stage Reports, developing and calibrating flood forecasting models such as PDM and Flood Modeller, and carrying out hydrological analysis using tools like ICM, HEC-RAS, MIKE 11, and FEH methods. You will produce high-quality technical reports, lead tenders, mentor team members, and build strong client relationships. Stay up to date with relevant legislation and guidelines while using AECOM’s project management systems to deliver projects on time and within budget. Become part of a team of around 700 water experts across the UK & Ireland, collaborating on projects from concept to completion in an inclusive and forward-thinking environment that supports your career growth and work-life balance.

Experience
Significant experience in flood forecasting modelling using Flood Modeller. Strong knowledge of Environment Agency requirements, including preparing flood forecasting 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 passion for innovation. Excellent analytical skills and ability to build strong relationships with clients and colleagues. Enthusiastic about working in a collaborative and inclusive environment.

Qualifications
A 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.