Biodiversity Data Scientist (Hybrid) – AI & Ecology

AECOM Corporation

Singapore

Hybrid

SGD 60,000 - 120,000

Full time

5 days ago
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Job summary

AECOM in Singapore is seeking an Environmental Data Scientist (Biodiversity) to turn ecological data into models, tools and evidence that shape infrastructure decisions across Singapore and Asia-Pacific.

The role combines field data integration, Python/R modelling, GIS analysis and AI-enabled workflows, with opportunities to contribute to EIA, NbS design and natural capital accounting while supporting clients and regulators.

Qualifications

  • Bachelor's degree or higher in ecology or related field.
  • Strong coding in Python and/or R for data wrangling and spatial analyses.
  • Experience with machine learning and AI tools.
  • Proficiency in GIS software (ArcGIS Pro or QGIS).
  • Able to explain technical results to non-specialists.
  • Willingness to join fieldwork in tropical conditions.

Responsibilities

  • Build and validate species distribution, habitat suitability and ecological connectivity models to inform EIA and NbS siting.
  • Develop analytical workflows for ecosystem extent and condition accounts, biodiversity metrics and indicators.
  • Design and deploy field data collection applications and manage biodiversity survey data pipelines.
  • Automate survey data pipelines and QA processes, including data validation against reference databases.
  • Train and evaluate machine learning models and AI tools; contribute to reproducible code and reporting.
  • Present analytical findings in client and regulator meetings and support field surveys as needed.

Skills

Python
R
GIS
Machine learning
Data wrangling
English language

Education

Bachelor's degree or higher in ecology

Tools

ArcGIS Pro
QGIS
Git
Shiny/Streamlit

Job description

AECOM in Singapore is seeking an Environmental Data Scientist (Biodiversity) to turn ecological data into models, tools and evidence that shape infrastructure decisions across Singapore and Asia-Pacific.

The role combines field data integration, Python/R modelling, GIS analysis and AI-enabled workflows, with opportunities to contribute to EIA, NbS design and natural capital accounting while supporting clients and regulators.

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