Data Scientist (Geospatial)

🌍 We’re Hiring: Data Scientist (Geospatial) 🌟 We are seeking a Data Scientist to join a geospatial team at the forefront of spatial modelling and long-term education planning in Singapore. In this role, you will architect and deploy machine learning solutions that forecast future demand, optimise infrastructure decisions, and turn diverse datasets into evidence-based insights. If you thrive at the intersection of data science, geospatial analytics, and public sector impact, we would like to hear from you. 📍 Location: Singapore, Singapore Monthly Salary (SGD) $8,000 to $8,400 Responsibilities Partner with planners, analysts, and business stakeholders to identify long-term infrastructure and space-planning needs. Convert complex operational requirements into clear analytical specifications and scalable technical solutions. Perform exploratory analysis on spatial, demographic, housing, migration, land-use, and accessibility datasets to uncover planning insights. Architect end-to-end machine learning solutions for geospatial analytics and education-demand forecasting. Establish reliable data pipelines, feature-engineering workflows, and model-serving frameworks that support production use. Create, test, and operationalise predictive models and geospatial analytics solutions within cloud-based environments. Integrate data from multiple internal and external sources while maintaining data quality, consistency, and traceability. Leverage spatial regression, time-series forecasting, agent-based modelling, ensemble methods, or deep learning based on project requirements. Assess model performance against observed outcomes and enhance modelling approaches to improve forecast accuracy and reliability. Communicate analytical findings and recommendations to technical and non-technical stakeholders while coordinating with engineering and platform teams. Requirements Bachelor’s degree in Data Science, Computer Science, Statistics, Geospatial Science, Mathematics, or a related discipline. At least 3–5 years of hands-on experience in data science or a related field, including delivering machine learning solutions in production. Strong proficiency in Python, SQL, and data science frameworks such as scikit-learn, PyTorch, or TensorFlow. Experience with the full machine learning lifecycle and cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure; familiarity with GeoPandas, QGIS, PostGIS, or ArcGIS is advantageous. Strong analytical, communication, and stakeholder-management skills, with the ability to contribute effectively in cross-functional teams; exposure to demographic modelling, urban planning, public-sector analytics, or Singapore planning datasets is preferred. Clarence Khoh R1552376