Senior Water Quality Modeller

Location/s: London, Cambridge, Bristol, Manchester & Leeds; UK (other UK locations considered)

Recruiter contact: Laura Easdon

Mott Mac Donald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices.

We work across incredible global industries, delivering exciting work that is defining our future and making an important societal impact in the communities we serve. Our people power our performance – we succeed when they do. With countless opportunities to collaborate, learn, and grow, the possibilities for excellence are as varied as every individual.

Whether you want to grow as a subject matter expert or broaden your experience with roles across our international community, you’re surrounded by global specialists who want to combine their expertise and champion you to be your best. As a proudly employee‑owned business, we benefit our clients, our communities, and each other, investing in creating the right space for everyone to feel empowered, included, and valued.

Whatever your ambition, Mott Mac Donald is where people come to be brilliant.

The Water Consultancy Division is Mott Mac Donald’s centre of excellence for responding to water and wastewater challenges, offering fantastic opportunities to get involved in diverse and technically challenging work. The work we do is at the forefront of ensuring safe water supplies for future generations and protecting our environment. Our multi‑disciplinary teams provide a variety of services throughout the full project life cycle, from advisory services and feasibility studies, through outline and detailed design, to construction support and site supervision.

As a senior water quality modeller, you will be a part of a large team of water resources and wastewater networks specialists working closely with our team of engineers and asset planners to deliver a wide range of services for UK and international clients. This role provides an opportunity to work with both bespoke and industry standard hydrodynamic and water quality modelling packages and to innovate beyond the current standards.

You will work with industry leading experts to develop integrated river network and drainage models, investigate the natural processes influencing the fate of contaminants, build ad‑hoc assessment tools tailored to project specific needs and undertake statistical analyses. For those with related interests, there are many opportunities to get involved across our teams on activities such as hydrology, systems modelling, groundwater modelling, flood modelling and computational fluid dynamics.

We therefore welcome applications from people with varied background and skillsets. Your input will help our project teams and clients to deliver complex multidisciplinary projects, including addressing the impacts of cross catchment transfers, storm overflows, and discharges from infrastructure projects, resulting in strategic outcomes, engineering solutions and the desirable social outcomes that you can be proud of.

• Core delivery of complex modelling projects – working with experts across a range of disciplines to apply your attention to detail and numerical skills to environmental engineering projects
• Analysing large datasets to distil out patterns and relationships and provide insights and foresights to inform effective resolutions and interventions to create positive social and environmental impacts. Assisting with proposal writing, winning work and the development of new business by providing key technical inputs
• Maintaining client relationships and managing projects
• Supporting and training to junior colleagues, where practicable, mentoring and developing early career professionals

Mott Mac Donald is a unique company with a strong sense of purpose to improve society by considering social outcomes in everything we do. We focus on excellence and digital innovation, transforming our clients’ business, our communities and employee opportunities.

• Relevant degree‑level qualifications (e.g. geography,…