About Laing O'Rourke

Laing O’Rourke is a $6 billion international operation with 70 years of involvement in Australian construction and infrastructure, including nearly two decades under the Laing O’Rourke banner. The business delivers projects as diverse as the environments in which they are built, from high security military bases and major rail transport infrastructure projects, through to landmark buildings at the transport interface. Laing O’Rourke owns one of Australia’s largest plant and equipment hire company called Select Plant Australia. We know the right culture combined with purposeful technology will help us meet demand and deliver certainty for our clients. That’s the #powerofexperience.

About the role

We are seeking an exceptional Staff Data Scientist to lead the development of advanced AI/ML solutions for mega construction projects. The ideal candidate will combine deep technical expertise with strategic thinking to drive innovation in construction intelligence. 

As Staff Data Scientist, you will shape and implement AI/ML capabilities for decision intelligence in construction megaprojects.

Key responsibilities

• Perform exploratory data analysis on proprietary data sets, and generate necessary features for application in risk identification, risk assessment, scheduling options, etc.
• Design and implement advanced ML models and LLM applications for various business needs including risk identification / assessment / mitigation / prediction, schedule optimization, etc.
• Develop innovative approaches to combine traditional ML techniques with LLM capabilities for enhanced decision intelligence
• Lead the implementation of AI-powered solutions that integrate outputs from models with 3rd party systems (e.g., AI schedule optimisation)
• Collaborate with business stakeholders to identify high-impact opportunities for AI/ML applications
• Establish best practices for model development, deployment, and monitoring in a construction context
  
  

About you

• Master's or PhD in Computer Science, Machine Learning, Statistics, or related field
• Demonstrated expertise in developing and deploying large-scale ML systems
• Experience in construction, engineering, or related industrial sectors
• Strong experience in exploratory data analysis (e.g., time series analysis and forecasting)
• Track record of building production-grade ML pipelines and monitoring systems
• Knowledge of vector databases and semantic search technologies
• Strong experience with LLMs, including prompt engineering, fine-tuning, responsible AI practices, and implementation and optimisation
  
  

Benefits

We work hard to create an environment that brings out the best in our people. We believe in building careers through providing a safe, connected and innovative culture that supports ongoing growth and development. We offer industry-leading benefits such as specialised learning and development programs, a mental health and wellbeing program, industry leading paid parental leave policy, an additional purchased leave option and coaching programs for staff on parental leave.

Diversity & Inclusion

We are committed to building a workforce that reflects the diverse society in which we live and work. Laing O’Rourke is proud to hold the Workplace Gender Equality Agency (WGEA) Citation - Employer of Choice for Gender Equality.

Laing O'Rourke actively supports a diverse workforce and strongly encourages applications from Aboriginal and Torres Strait Islander Peoples and people from culturally diverse backgrounds. Download our Stretch Reconciliation Action Plan at https://www.laingorourke.com/company/diversity-and-inclusion

Applications from recruitment agencies will not be considered.