Senior Data Scientist

Core responsibilities:

• Define and execute AI/ML roadmaps aligned with AECOM's business objectives, including sustainability and operational efficiency
• Develop and deploy predictive and prescriptive models for key use cases such as demand forecasting, optimisation, and anomaly detection in infrastructure projects
• Establish best practices for model lifecycle management, including MLOps, monitoring, and retraining, ensuring alignment with AECOM's global standards
• Extract actionable insights from complex datasets to inform strategic decisions across infrastructure, environmental, and urban development domains

This role contributes to transformative data-driven decision-making across global projects, advancing analytics, AI/ML strategies, and IoT-driven insights to unlock measurable business value across infrastructure, environmental, and urban development sectors.

Required skills and qualifications:

• Expertise in advanced analytics, machine learning, and IoT technologies
• Experience with statistical modelling, machine learning, and optimisation techniques
• Ability to design and run experiments (e.g., A/B testing, causal inference)
• Experience collaborating with data engineering teams to design feature pipelines and ensure data quality

No compensation, perks, or culture highlights mentioned in the job description.

AECOM is committed to delivering sustainable and innovative solutions across infrastructure, environmental, and urban development sectors.