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AECOM

Global infrastructure consulting and program management

Environmental Data Scientist - Biodiversity

Data ScienceConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listed

About the Job

Requirements

  • A bachelor's degree or higher in ecology, conservation biology, environmental science, biology, or a related field, supported by a portfolio of analytical or coding work.
  • A sound grounding in ecological theory and ecosystem dynamics, including population and community ecology, landscape ecology, connectivity, disturbance, and succession.
  • Strong coding ability in Python and/or R, including data wrangling, statistical modeling, and spatial analysis.
  • Hands-on experience with machine learning and AI, including building and validating models and critically using AI-assisted coding and large language model tools.
  • Experience designing or managing structured datasets or databases, with attention to data quality and standards.
  • Experience with field data capture applications or digital survey workflows.
  • Working proficiency in geographic information systems, such as ArcGIS Pro, QGIS, or spatial libraries in Python or R.
  • Clear written and spoken English and the ability to explain technical results to non-specialist clients and regulators.
  • Willingness to participate in fieldwork in tropical conditions when projects require it.

Responsibilities

  • Build and validate species distribution, habitat suitability, and ecological connectivity models to inform environmental impact assessments, corridor design, and nature-based solutions siting.
  • Apply ecological theory to model design by choosing predictors, scales, and assumptions that reflect ecosystem processes, and communicate uncertainty clearly.
  • Produce reproducible spatial analyses and map outputs in Python, R, and geographic information systems.
  • Develop analytical workflows for ecosystem extent and condition accounts, biodiversity metrics, and indicators aligned with SEEA EA, TNFD, and related frameworks.
  • Translate ecological data into metrics that clients, financiers, and regulators can use for disclosure, investment, and planning decisions.
  • Design and deploy field data collection applications that streamline data capture and reduce transcription and quality-assurance effort.
  • Build and manage project and team databases for biodiversity survey data, including schema design, data standards, version control, and access.
  • Automate survey data pipelines, including species-list validation against reference databases, conservation-status flagging, and processing camera-trap and bioacoustic outputs.
  • Train and evaluate machine-learning models, and apply pre-trained ecological AI tools such as BirdNET and MegaDetector with appropriate validation.
  • Build large-language-model-assisted workflows for reporting, quality assurance, and data extraction, and use AI coding assistants productively and critically.
  • Promote reproducible code, documentation, and responsible AI practices across the team.
  • Write technical report sections and appendices for environmental impact assessment, nature-based solutions, and natural capital deliverables.
  • Present analytical findings in client and regulator meetings, including meetings with NParks and other agencies.
  • Support field surveys as needed to understand data collection, test tools, and maintain ecological grounding, while contributing to overall project requirements.

Desired Qualifications

  • Flora or fauna survey and identification skills, particularly for tropical Southeast Asian taxa.
  • Experience with remote sensing and Earth observation, such as Google Earth Engine, Sentinel, Landsat, or drone imagery, for habitat mapping and change detection.
  • Experience with connectivity tools such as Circuitscape, Omniscape, or graph-based methods, or with occupancy and abundance modeling.
  • Familiarity with natural capital and nature-related frameworks, including SEEA EA, TNFD, SBTN, IFC PS6, or biodiversity net gain metrics.
  • Experience processing camera-trap, bioacoustic, or environmental DNA data at scale.
  • App or dashboard development using tools such as Shiny, Streamlit, or web or mobile frameworks; cloud platforms; and version control with Git.
  • Prior consultancy experience or experience delivering applied work for government, industry, or NGOs in Southeast Asia.

About the Company

AECOM

Global infrastructure consulting and program management

AECOM is a global infrastructure consulting firm that provides a wide range of services, including architecture, design, construction management, engineering, environmental services, and program management, to government agencies, private companies, and non-profits. Its work centers on managing and delivering large-scale infrastructure projects, from planning and design to construction and operation, with fees tied to the project type and scope. Unlike firms with a narrower focus, AECOM offers end-to-end support across transportation, buildings, cities, and overall infrastructure, combining technical expertise with project oversight and sustainability considerations. The company aims to improve the world by enhancing natural and social systems, promoting equity and inclusion, and driving responsible, lasting outcomes for communities.

Company size
10,001+
Company stage
IPO
Headquarters
Dallas, TX
Founded
1990

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