Senior Environmental Data & Modelling Specialist

Public Service Division; Singapore; On-site; SGD 42,000 - 66,000; Full time

Job summary

Public Service Division in Singapore invites applications for a role within the Environmental Monitoring & Modelling Division. You will support modelling, data analysis and field activities to monitor air and water quality, and to assess policy impacts.

You will work with engineers and scientists to process data, prepare inputs for models, and communicate findings through technical reports and presentations. A diploma in a data-related field is preferred; GIS/programming knowledge is a plus.

Qualifications

• Diploma in a data-related field.
• Experience processing large datasets.
• Strong analytical and problem-solving skills.
• Knowledge of GIS, programming or statistics is advantageous.
• Experience with data documentation and reporting.
• Willingness to undertake fieldwork.

Responsibilities

• Assess water quality data and identify anomalies.
• Compile emissions data for inventories.
• Prepare input data for environmental models.
• Analyze and present monitoring data and model outputs.
• Support research on pollutant sources.
• Provide technical and field support for deployment of monitoring systems.
• Assist with procurement and management of projects and tender documents.
• Collaborate with monitoring teams on projects.
• Prepare technical documentation and reports.

Skills

Analytical thinking

Problem solving

English communication

Self-motivated

Fieldwork willingness

Team collaboration

Education

Diploma in Data Analytics or related

Tools

GIS

Programming

Statistics software

Job description

Public Service Division in Singapore invites applications for a role within the Environmental Monitoring & Modelling Division. You will support modelling, data analysis and field activities to monitor air and water quality, and to assess policy impacts.

You will work with engineers and scientists to process data, prepare inputs for models, and communicate findings through technical reports and presentations. A diploma in a data-related field is preferred; GIS/programming knowledge is a plus.