Water Quality Data Scientist_UAEN

About EWECEWEC (Emirates Water and Electricity Company) is the sole procurer and supplier of water and electricity in the emirate of Abu Dhabi. EWEC drives the planning, forecasting, purchasing, and system despatch services of water and electricity. EWEC fulfils these vital responsibilities through the short-term and long-term balancing of bulk supply and demand for distribution companies and authorities in Abu Dhabi and other Emirates. EWEC is supporting the government of Abu Dhabi and the government of the UAE by enabling the reduction of cost whilst also providing the increased security of supply that comes from a cleaner, larger, and more integrated system.EWEC is mandated to implement strategic initiatives that will achieve the 60 per cent clean energy target outlined in the Abu Dhabi Department of Energy's (DoE) Clean Energy Strategic Target 2035 for Electricity Production in Abu Dhabi, in addition to enabling the achievement of UAE Water Security Strategy 2036, UAE Energy Strategy by 2050, and the UAE Net Zero by 2050 strategic initiative. EWEC is accelerating Abu Dhabi and the UAE’s energy transition by diversifying the country’s energy mix through developing and deploying renewable and clean energy as well as low-carbon intensive water desalination capacities. EWEC is part of ADQ, one of the region’s largest holding companies with a broad portfolio of major enterprises spanning key sectors of Abu Dhabi’s diversified economy. For more information, please visit www.ewec.ae.The Data Scientist is responsible for leading the development and implementation of data-driven solutions to enhance water quality assessments by applying advanced techniques such as machine learning and predictive analytics. This role involves analysing complex datasets to identify trends, building data models, and maintaining data pipelines to support water quality assurance. The Data Scientist collaborates with internal teams and external stakeholders, integrates external data sources, and ensures compliance with regulatory standards. Additionally, the role includes driving continuous improvement initiatives, and optimising data processes to improve decision-making and system reliability, aligning with organisational goals.Job Specific Responsibilities:Lead the development and implementation of data-driven solutions to enhance the accuracy and reliability of water quality assessments, utilizing advanced data science techniques like machine learning and predictive analyticsCollaborate closely with water quality and integrity and other departments to integrate data science methodologies into water quality assurance, control and process models, thereby improving precision and reliabilityAnalyse large and complex datasets to identify trends, patterns, and anomalies, delivering actionable insights that facilitate continuous improvement in water quality monitoring and strategic decision-makingDevelop and maintain robust data pipelines for efficient, secure, and reliable data collection, processing, and storage to support water quality assurance activitiesOversee the creation and refinement of data models and algorithms to boost the predictive capabilities of water quality tools, ensuring they align with operational and strategic goalsDevelop and maintain water quality dashboards and visualisation tools to support operational monitoring, compliance reporting, performance tracking, and management decision-making.Work with internal teams and external stakeholders to integrate external data sources and industry benchmarks into water quality models, providing a holistic view of water systems and compliance with regulatory standardsPrepare and present detailed reports on data analysis, modeling outcomes, and water quality performance, highlighting key metrics and trends, with recommendations for system improvementsEnsure adherence to all relevant data privacy, security, and regulatory standards in water quality assurance activities, maintaining high quality and consistency across all data initiativesManage the documentation and reporting of data-related water quality assurance activities, ensuring all records are accurate, comprehensive, and accessible for audits and regulatory complianceLead projects aimed at enhancing water quality assurance processes, ensuring timely completion within budget and adhering to the highest standards of qualityOptimise data collection, processing, and storage practices to improve the efficiency, accuracy, and reliability of water quality models, which supports better decision-making across the organisationProvide strategic oversight for the development and execution of data science initiatives related to water quality, ensuring alignment with long-term operational and strategic objectivesCollaborate with external partners and industry experts to stay abreast of advancements in water quality science, integrating new methodologies and tools into assurance processesSupport the integration of emerging technologies into water quality assurance models, aligning with sustainability and environmental targetsEnsure meticulous documentation, reporting, and communication of all water quality assurance activities in compliance with regulatory standards, maintaining transparency and accountabilityCommunicate findings, recommendations, and data-driven insights effectively to senior management and other stakeholders, ensuring strategic alignment with EWEC’s broader goalsStandard Responsibilities:Implement all relevant department policies, processes, and procedures so that work is carried out in a controlled and consistent mannerExecute the continuous improvement of systems, processes and practices taking into account ‘international leading practice’ and changes in business environment and leveraging insights. This includes supporting the related change management effortsEnsure adherence to all health, safety, security and environment (HSSE) policies and requirementsContribute to the preparation of timely and accurate reports to meet the department requirements, policies and standardsAdhere to EWEC values (including sustainability, integrity, collaboration and innovation)Upgrade technical skills and knowledge on an ongoing basisMinimum Requirements:Bachelor’s degree in data Analytics, Computer Science, or a related fieldMaster’s degree in a related field preferredExperience with data analysis tools and software requiredMinimum of 5 years of experience in data analysis, with a focus on Civil Engineering, Environmental Engineering, or Data AnalyticsWater and utility sector