Value Delivery Consultant – Wastewater

Decisio; United Kingdom; Remote; GBP 70,000 - 110,000; Full time

Job summary

Decisio UK is seeking a skilled data scientist/engineer to model and optimise water systems using the Decisio platform, turning regulatory and operational requirements into actionable scenarios. You will work with stakeholders to capture business needs, perform scenario analyses, and design solutions that balance ecology, resilience, and affordability, while advancing Net Zero goals.

The role requires a STEM degree, proficiency in analytics, Excel, SQL, Python and R, and a collaborative mindset

Qualifications

• Bachelor's degree or higher in Mathematics, Engineering, Water Engineering, Water Sciences, Data Science, or a STEM equivalent.
• Proficiency in advanced analytics, forecasting, predictive modelling, and optimisation algorithms.
• Strong Excel skills, plus familiarity with MS SQL Server, Python, R, linear programming, and optimisation technologies.
• Track record of driving innovation in fast-paced environments.
• Exceptional communication translating complex technical concepts for non-technical stakeholders.
• Experience collaborating across cross-functional teams.

Responsibilities

• Drive client satisfaction by translating business requirements into modeling solutions.
• Lead and attend workshops with stakeholders to define requirements for end-use cases.
• Inform strategic plans and delivery strategies using the Decisio platform.
• Collaborate with cross-functional teams to optimise efficiency, energy production, and resilience.
• Familiarise with core Decisio technologies and platform.
• Gather, transform and validate data to design and test solution behaviour.
• Perform scenario analysis and network design optimisation for performance and resilience.
• Understand models and develop logic to meet client needs.
• Participate in development, testing, deployment and feedback to improve Decisio.

Skills

Advanced analytics

Data science

Excel

MS SQL Server

Python

R

Optimization algorithms

Communication skills

Cross-functional collaboration

Stakeholder management

Education

Bachelor's degree in Mathematics, Engineering, Water Engineering, or related STEM field

Master's degree or higher (preferred)

Tools

MS SQL Server

Python

R

Linear programming

Optimization software

Job description

UK wastewater utilities confront ageing pipes failing under climate extremes, regulatory mandates to dramatically cut CSO spills, and £multi-billion AMP8 investments that must deliver resilience, nature-based solutions, and circular resource recovery, while keeping bills affordable amid public scrutiny and Net Zero deadlines.

Your Impact

Working at the centre of UK wastewater transformation, you will use the Decisio™ platform to model and optimise raw and potable water systems for utility clients. Your role involves translating complex regulatory and operational requirements into data-driven scenarios that balance ecology, affordability, resilience, and Net Zero goals. You'll pioneer AI-optimised nature-based solutions, turning wastewater into a resilient, revenue-generating asset.

Responsibilities

• Drive customer and stakeholder satisfaction through proactive understanding of client business requirements, translating them into modelling solutions
• Lead and attend workshop sessions with business stakeholders to determine business requirements for end-use cases to be deployed
• Inform clients' strategic Resource Management Plans and Long-Term Delivery Strategies, ensuring alignment with regulatory requirements and industry best practices, using the Decisio™ platform
• Collaborate closely with cross-functional teams to support systems planning, offering guidance on efficiency optimisation, energy production enhancement, and resilience planning
• Learn the core technologies used by BMA and become familiar with the proprietary Decision Intelligence software platform, Decisio™
• Gather, transform, and validate data to design, as well as make use of available technologies to build and validate solution behaviour
• Conduct comprehensive scenario analysis and network design optimisation to enhance system performance, efficiency, and resilience
• Understand existing mathematical models and develop additional logic to meet both internal and clients' requirements
• Participate in all aspects of system development, testing, deployment, and feedback with the overarching objective of further enhancing Decisio™
• 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 complex technical concepts for non-technical stakeholders
• Experience collaborating across cross-functional teams

Advantageous

• Hands-on experience with wastewater processes, combined sewer overflow (CSO) systems, and operational challenges
• Deep knowledge of wastewater regulatory requirements (e.g. PR24) and industry best practices
• Proven scenario analysis, optimisation modelling, and investment planning - balancing technical, economic, and environmental factors
• AI/ML experience: machine learning models, neural networks, or AI-driven decision systems for infrastructure optimisation
• Familiarity with AI-powered planning tools, digital twin platforms, or decision intelligence systems

Personal Characteristics

• 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
• Pragmatic, goal-oriented, self-motivated, and continuous learner
• Energised by flexible workloads and direct client interaction