Senior Scientific Executive / Assistant Scientific Manager (Modelling and Instrumentation)

About the role

The National Environment Agency (NEA) is hiring a Senior Scientific Executive or Assistant Scientific Manager for its Modelling and Instrumentation Department (MID) within the Environmental Monitoring and Modelling Division (EMMD). MID manages continuous air and water quality monitoring systems, runs trials and test-bedding of emerging monitoring technologies and carries out modelling and research studies. The Modelling and Research Branch assesses the potential impacts of policies, development projects and pollution incidents through air dispersion and water quality modelling, and supports NEA's policies and operations.

Key responsibilities

• Provide technical and project support to Engineers and Scientific Officers in modelling, research and data analysis.
• Assess water quality data and flag potentially unreliable or anomalous data.
• Compile and maintain information on pollution sources and emissions for air emissions inventories and databases.
• Prepare input data for air and water quality models used to assess new developments, track pollution incidents and identify pollution sources.
• Process, analyse and present environmental monitoring data and model outputs, including supporting model validation.
• Support research projects on the sources, characteristics and chemical composition of air and water pollutants.
• Provide technical and field support for deploying, operating and testing air and water quality monitoring systems and sampling equipment.
• Support procurement and project management, including preparing quotation and tender documents.
• Work with monitoring teams and stakeholders on monitoring, modelling and research projects.
• Prepare technical documentation, data summaries, reports and presentation materials.

Required profile

• Diploma in Data Analytics, Artificial Intelligence, Computer Science, Statistics, Mathematics, Environmental Science or a related discipline.
• Experience or strong interest in applied AI, machine learning, data analytics, data science or digital solutions development is preferred.
• Experience in managing, processing and analysing large datasets.
• Ability to work independently and as part of a team, and willingness to do fieldwork and support monitoring or sampling activities.

Required skills

• Strong analytical, sense-making and problem-solving skills.
• Meticulous attention to detail and accurate data, records and technical documentation.
• Good written and spoken English.
• Knowledge of GIS, programming, data analytics or statistics is an advantage.