Value Delivery Consultant – Water Systems

The UK's critical national infrastructure is facing once-in-a-generation challenges driven by climate change, demand growth and changes in population.

As a Value Delivery Consultant at BMA, you will play a pivotal role in advancing our Decisio™ platform. Your focus will involve leveraging expertise in planning and data science to optimise the performance of water or energy systems, as part of a team providing analytics services across industry verticals.

• Work with the Decisio™ platform to model and optimise raw and potable water systems
• Translate complex regulatory and operational requirements into data-driven scenarios
• Use digital business twins and optimisation tools to support long-term infrastructure decisions
• Initial focus on water systems, with opportunities to expand into wastewater, bioresources and energy

• Drive customer and stakeholder satisfaction through proactive understanding of client business requirements
• Lead workshop sessions to determine modelling requirements
• Collaborate on systems planning and efficiency optimisation
• Learn BMA's core technologies and the proprietary Decisio™ platform
• Gather, transform, and validate data to design solutions
• Conduct scenario analysis and network design optimisation
• Develop mathematical models to meet internal and client requirements
• Participate in system development, testing, deployment, and feedback
• Bachelor's degree, or higher, in Mathematics, Engineering, Water Engineering, Water Sciences, Data Science, Statistical/Decision Sciences, or a STEM equivalent
• Proficiency in advanced analytics and data science: statistical analysis, forecasting, predictive modelling, and optimisation algorithms
• Strong Microsoft Excel skills, plus familiarity with MS SQL Server, Python, R, linear programming, and optimisation technologies
• Track record of driving innovation, delivering tangible results, and thriving in fast-paced environments
• Exceptional communication, translating technical concepts for non-technical stakeholders
• Experience collaborating across cross-functional teams

• Experience with industry optimisation models (e.g. PyWR)
• Wastewater regulatory and best-practice knowledge
• Scenario analysis and investment planning experience
• AI/ML experience with machine learning models or neural networks
• Familiarity with AI-powered planning tools, digital twin platforms, or decision intelligence systems

• Passion for leveraging technology and quantitative analysis for real-world environmental benefits
• Commitment to tech-driven sustainability in the water/wastewater sectors
• Strong critical and creative thinking, with ambition to drive meaningful change
• Self-motivated continuous learner
• Energised by flexible workloads and direct client interaction