Value Delivery Consultant – Water Systems

Decisio; United Kingdom; On-site; GBP 60,000 - 85,000; Full time

Job summary

Business Modelling Applications seeks a Value Delivery Consultant to advance the Decisio platform by modelling and optimising water systems, translating regulatory and operational requirements into data-driven scenarios.

You will work with analytics experts to support long-term infrastructure decisions across water and energy sectors, with initial focus on water systems and potential expansion into wastewater and bioresources. Strong communication with clients is essential.

Qualifications

• Bachelor's degree in Mathematics, Engineering, Water Engineering, Water Sciences, Data Science or STEM equivalent.
• Proficiency in advanced analytics, forecasting, and optimisation algorithms.
• Strong Excel skills and familiarity with SQL, Python and R.

Responsibilities

• 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 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.

Skills

Advanced analytics

Predictive modelling

Optimisation algorithms

Python

R

MS SQL Server

Excel

Linear programming

Data science

cross-functional collaboration

Communication

Education

Bachelor's degree in Mathematics

Engineering

Water Engineering

Water Sciences

Data Science

Statistical/Decision Sciences

STEM equivalent

Tools

PyWR

Job description

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.

Overview

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.

Your Impact

• 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

Responsibilities

• 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

Advantageous

• 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

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
• Self-motivated continuous learner
• Energised by flexible workloads and direct client interaction