Value Delivery Consultant – Water Systems

Value Delivery Consultant – Water SystemsThe UK's critical national infrastructure is facing once-in-a-generation challenges driven by climate change, demand growth and changes in population.OverviewAs 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.Your ImpactWork with the Decisio™ platform to model and optimise raw and potable water systemsTranslate complex regulatory and operational requirements into data-driven scenariosUse digital business twins and optimisation tools to support long-term infrastructure decisionsInitial focus on water systems, with opportunities to expand into wastewater, bioresources and energyResponsibilitiesDrive customer and stakeholder satisfaction through proactive understanding of client business requirementsLead workshop sessions to determine modelling requirementsCollaborate on systems planning and efficiency optimisationLearn BMA's core technologies and the proprietary Decisio™ platformGather, transform, and validate data to design solutionsConduct scenario analysis and network design optimisationDevelop mathematical models to meet internal and client requirementsParticipate in system development, testing, deployment, and feedbackBachelor's degree, or higher, in Mathematics, Engineering, Water Engineering, Water Sciences, Data Science, Statistical/Decision Sciences, or a STEM equivalentProficiency in advanced analytics and data science: statistical analysis, forecasting, predictive modelling, and optimisation algorithmsStrong Microsoft Excel skills, plus familiarity with MS SQL Server, Python, R, linear programming, and optimisation technologiesTrack record of driving innovation, delivering tangible results, and thriving in fast-paced environmentsExceptional communication, translating technical concepts for non-technical stakeholdersExperience collaborating across cross-functional teamsAdvantageousExperience with industry optimisation models (e.g. PyWR)Wastewater regulatory and best-practice knowledgeScenario analysis and investment planning experienceAI/ML experience with machine learning models or neural networksFamiliarity with AI-powered planning tools, digital twin platforms, or decision intelligence systemsPersonal CharacteristicsPassion for leveraging technology and quantitative analysis for real-world environmental benefitsCommitment to tech-driven sustainability in the water/wastewater sectorsStrong critical and creative thinking, with ambition to drive meaningful changeSelf-motivated continuous learnerEnergised by flexible workloads and direct client interaction #J-18808-Ljbffr