Job Category: Consultant

Wastewater and Bioresources Optimisation Consultant

As a Wastewater and Bioresources Optimisation Consultant at BMA, you will play a pivotal role in advancing our Decisio™ Cloud for Water (C4W) platform. Your primary focus will be on leveraging your expertise in wastewater and bioresources management, combined with production planning and data science skills, to optimise the performance, resilience, and sustainability of water and bioresource systems for our clients. BMA is looking for someone to join the company as a consultant who has a background in process engineering, environmental science/engineering or related discipline.

Decisio™ is an Azure-native, AI-assisted decision intelligence and analytics platform focused on supporting the delivery of infrastructure transformation at pace. From long-term strategic planning through to operational planning and project delivery, the platform empowers clients to make more informed, holistic, and connected decisions. We specialise in assisting businesses in transitioning to resilient, low-carbon models, and we are seeking innovative individuals to contribute to our mission.

The Role

• The role will require you to be part of a growing company that has a wide-ranging customer base spread across the water & energy utility sectors.
• The role will be primarily customer facing, dealing with their business challenges. Understanding business requirements and translating them into modelling solutions. Gathering and validating data in support of the envisaged solution design, then making use of available technologies to build and validate solution behaviour.

• You will be expected to learn the core technologies used by BMA and become familiar with the BMA proprietary solution delivery platform, Decisio™ Cloud for Water (C4W), to create detailed digital representations of clients' connected systems of assets in the water and wastewater sector.  

• Conduct comprehensive scenario analysis and network design optimisation to enhance system performance, efficiency, and resilience, considering various operational constraints, environmental factors, and strategic ambitions of the client. 

• Inform clients' strategic Water Resources 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 operational systems planning, offering guidance on efficiency optimisation, energy production enhancement, and resilience planning during critical asset unavailability. 

• Understand existing mathematical models and develop additional logic to meet internal and clients’ requirements. 

• Your background in a sciences or other quantitative degree or post graduate degree, with a focus on process, mechanical, environmental, electrical, production or chemical engineering or in statistical, business and other applied sciences.
• Experience in the water industry, particularly in wastewater and sludge treatment and/or bioresource management, will be a distinct advantage.
• Familiarity with Microsoft Excel is essential and basic knowledge of other tools and techniques such as MS SQL Server, Python, R, Microsoft Power BI, Linear programming and other optimisation techniques and technologies will be an advantage.
• 3 or more years working experience will be ideally sought for the role.
• You will be expected to learn the core technologies used by BMA and become familiar with the BMA proprietary solution delivery platform, Decisio™.

Responsibilities

• To understand and document client requirements, validate the requirements and using your experience and knowledge, translate the client’s requirements into the toolsets available to the Company. These toolsets will include Enterprise Optimiser (EO), Microsoft Power BI, R, Python, SQL Server and some other toolsets such as MS Azure, MS Excel as well as the Company’s proprietary software suite “Decisio”.
• To assist the client in the usage of developed system to drive business benefit realisation.
• To attend workshop sessions which will need to be arranged with business stakeholders from time to time. The purpose of the workshops will be to determine business requirements for end use cases to be deployed using the technology components, described above.
• With the understanding of available technology, the understanding of the Company systems and based upon the feedback from the stakeholder workshops, to compile and obtain approval of designs which will form the basis for deliverables of the solution to customers at the end of the project delivery. The designs will be a comprehensive specification used for measuring success of the delivered project.
• Once agreement has been gained on design, the development of the required functionality will need to commence, using the technology available to the company. You will be required to interact with other company employees, geographically situated around the world, to develop a list of deliverables, actions and time frames for the required functionalities.
• Once a version for release has been agreed, system testing will need to take place in several distinct phases, namely internal developer testing, internal user testing and customer user acceptance testing.
• Once Customer User acceptance testing has been completed, only then will a system be deployed for the use.
• Feedback from customers will be sought to further develop the Company system. This feedback will then be built into the system roadmap to further enhancement and development.
• Involvement in all aspects of system development, testing, deployment and feedback with the overarching objective to further enhance and develop the Company system for the benefit of the Company and its customers.

Personal Characteristics

• A passion for using technology and quantitative analysis to drive real world benefits
• Self-motivating and self-learning
• Enjoy a flexible and varied workload including direct client contact
• Pragmatic and goal orientated.

Qualifications

• Bachelor's degree or higher in Process Engineering, Environmental Engineering, Chemical Engineering, Data Science, Statistical and Decision Sciences or a related field.  
• Minimum of 3 years of hands-on experience in wastewater treatment, bioresources management, sludge treatment and production planning within a relevant industry or sector. 
• Proficiency in utilizing advanced analytics and data science techniques for decision-making purposes, including but not limited to statistical analysis, predictive modelling, and optimisation algorithms.  
• Familiarity with Microsoft Excel is essential, and basic knowledge of other tools and techniques such as MS SQL Server, Python, R, Microsoft Power BI, Linear programming and other optimisation techniques and technologies will be a further advantage. 
• Strong familiarity with water system modelling software and digital twin technologies, with a proven track record of applying these tools to real-world scenarios. 
• Demonstrated ability to conduct comprehensive scenario analysis, optimisation modelling, and investment planning, with a keen understanding of the interplay between technical, economic, and environmental factors. 
• Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders and collaborate with cross-functional teams. 
• Proven track record of driving innovation, delivering results, and adapting to dynamic and fast-paced environments. 
• Knowledge of regulatory requirements and industry best practices in wastewater and bioresources management is highly desirable. 
• Ability to attend workshop sessions with business stakeholders from time to time to determine business requirements for end use cases to be deployed using the technology components described above. 
• Involvement in all aspects of system development, testing, deployment, and feedback with the overarching objective to further enhance and develop the Company's system for the benefit of the Company and its customers (this could require interaction with other company employees geographically situated around the world).