Data Scientist – Laboratory & Geo-Data Analytics
On-siteSingapore, Singapore
Job Summary
Develop data-driven models, analytics workflows, and machine learning solutions to support Fugro's APAC geotechnical laboratory digitalisation and innovation roadmap. Build analytical, predictive, and classification models for laboratory, geotechnical, and project datasets while enabling QAQC automation through anomaly detection and trend identification. Support predictive geotechnical analytics by linking test results with CPT, geophysical, and historical data, and create dashboards for turnaround time, backlog, and capacity planning. Integrate and structure complex datasets from LIMS, LabPro, and RFID systems, then validate model outputs with laboratory and geotechnical subject matter experts. This 3-year fixed term contract in Singapore requires a Bachelor's degree in a quantitative discipline and 3+ years of data science experience.
Required Qualifications
- Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Geoscience, Physics or a related quantitative discipline
- 3+ years' experience in data science, machine learning, statistical modelling, engineering analytics or applied data analytics
- Hands-on experience developing models using Python and common data science libraries
- Experience working with complex, incomplete, noisy or operational datasets
Desired Qualifications
- Master's degree in Data Science, Machine Learning, Engineering Analytics, Geoscience Analytics or related field
- Experience with engineering, laboratory, geotechnical, geophysical, scientific, sensor, time-series, depth-series, spatial or industrial datasets
- Formal people management experience
- Experience coordinating analytical work with domain experts, engineers, IT teams or operational users
- Certification or professional training in machine learning, data analytics, cloud analytics, SQL, Power BI, Python, statistical modelling or AI development
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