Senior Data Scientist

Digital Senior Data Scientist

AECOM is seeking a Senior Data Scientist to join our Data Science & Analytics team contributing to transformative data-driven decision-making across global projects. As part of AECOMs commitment to delivering sustainable and innovative solutions the Senior Data Scientist will play a critical role in advancing analytics AI/ML strategies and IoT-driven insights to unlock measurable business value across infrastructure environmental and urban development sectors.

Reporting to the Data Intelligence Lead this role will focus on designing and implementing predictive and prescriptive models driving AI/ML strategies and collaborating with cross-functional teams to integrate data science solutions into AECOMs operational workflows. The ideal candidate will bring expertise in advanced analytics machine learning and IoT technologies with a passion for solving complex challenges in the built environment.

Key Responsibilities

• Define and execute AI/ML roadmaps aligned with AECOMs 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 AECOMs 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 AECOMs 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 AECOMs 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 laymans terms.

Qualifications :

Minimum Requirements

• 35 years of experience in data science or applied machine learning preferably in infrastructure environmental or urban development sectors.
• Strong proficiency in Python (pandas scikit-learn PyTorch/Tensor Flow) and SQL with experience in geospatial and environmental data analysis.
• Experience with MLOps tools (MLflow Docker CI/CD pipelines) and cloud platforms (Azure preferred) ensuring scalable and reliable solutions.
• Proven ability to influence non-technical stakeholders and communicate complex concepts clearly especially in the context of infrastructure and environmental projects.
• Experience mentoring and coaching technical teams promoting collaboration and innovation.

Preferred Qualifications

• Masters degree in Computer Science Statistics Applied Mathematics or related field with a focus on data science applications in infrastructure or environmental domains.
• Familiarity with time-series forecasting optimisation and causal inference particularly in project planning and resource management.
• Experience with IoT analytics and real-time data processing including applications in smart cities and connected infrastructure.
• Certifications such as Azure AI Fundamentals Azure Data Fundamentals or Power BI Data Analyst Associate.

Additional Information :

At AECOM we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.

About AECOM

AECOM is the worlds trusted infrastructure consulting firm delivering professional services throughout the project lifecycle from advisory planning design and engineering to program and construction management. On projects spanning transportation buildings water new energy and the environment our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise a culture of equity diversity and inclusion and a commitment to…