Senior Data Scientist at AECOM2

About the Role

AECOM is seeking a Data Scientist to join their Data Science & Analytics team, contributing to transformative data-driven decision-making across global projects. This role will focus on advancing analytics, AI/ML strategies, and IoT-driven insights to unlock measurable business value in infrastructure, environmental, and urban development sectors.

Key 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.
• →Apply statistical modelling, machine learning, and optimisation techniques to solve high-impact business problems, including resource allocation, project risk management, and asset lifecycle forecasting.
• →Design and run experiments (e.g., A/B testing, causal inference) to measure the impact of data-driven initiatives on project outcomes.
• →Collaborate with data engineering teams to design feature pipelines and ensure data quality across diverse sources, including geospatial, environmental, and operational data.
• →Support integration of diverse data sources (batch, streaming, IoT) into unified analytics platforms tailored to AECOM’s global projects.
• →Analyse real-time sensor and telematics data to enable predictive maintenance and operational efficiency for connected assets in infrastructure projects.
• →Implement anomaly detection and streaming inference solutions to improve asset performance and reduce downtime.
• →Mentor junior data scientists and analysts, fostering a culture of innovation and excellence in analytics and modelling.
• →Promote best practices in data science and analytics, ensuring alignment with AECOM’s quality standards and project delivery frameworks.
• →Present work outputs to both technical and non-technical audiences, translating complex analytics and AI/ML concepts into clear, layman’s terms.