Senior Data Scientist Organisation/Entity: Sydney Trains Job category: Projects Job location: Auburn, NSW, AU, 2144 Job reference number: 102044 Employment type: Permanent Full-Time Salary range: $148594.0-$164767.0 You can be part of the team that enables significant service improvements for our people. You're all about the detail and this role will allow you to drive evidence-based decision making to optimise systems and efficiency, not just for the business but for our customers too. It's data and research with impact you can see. In this role, you'll: • Design, implement, and validate advanced machine learning models and statistical methods to analyse train condition monitoring data • Promote data quality, governance, and ethical AI/ML practices in maintenance and operations • Translate engineering and business challenges into data-driven solutions by working closely with engineers, maintenance teams, operations staff, and asset managers • Build dashboards and visualizations to monitor train component health and communicate insights to technical and non-technical stakeholders • Develop and maintain robust data pipelines for ingesting, cleaning, and storing data from various train condition monitoring sources • Support integration of new monitoring technologies and data sources; contribute to fleet digitisation, reliability improvement, and cost reduction initiatives • Provide expert advice on passenger rolling stock and train condition monitoring systems; review and report on data from Sydney Trains and ARTC systems • Stay updated on global developments in data science and train monitoring technologies; evaluate new capabilities for applicability to Sydney Trains • Assist in developing and delivering training to Sydney Trains staff and external stakeholders • Conduct data reviews for project acceptance, meet critical deadlines, and foster a safety culture in design and delivery • Review and provide advice on data science aspects of existing and new systems/projects in a timely manner • Assist Train Condition Monitoring Engineers in monitoring alarms and alerts, ensuring technical and safety assurance. For more information, please view a copy of the role description and information pack. About you • Tertiary qualification in Data Science, Applied Mathematics, Actuarial Science, or a related quantitative field • Proven experience in data mining, analysis, visualization, and machine learning • Strong skills in tools like SQL, Excel, Tableau, Power BI, or DOMO • Deep knowledge of time-series analysis, anomaly detection, and predictive modelling • Experience designing, developing, and deploying AI models using industry-standard frameworks • Familiarity with rolling stock systems (e.g., braking systems, bogies, wheels) and wayside train condition monitoring systems • Experience providing technical direction and specialist advice to engineering teams and stakeholders. Who we are Transport for NSW provides a safe, integrated, and efficient transport system. We connect people, communities and industry every day. At Sydney Trains, our rail services keep Sydney moving by putting our customers at the centre of everything we do. We work with our local communities to deliver safe, timely and efficient rail services 24 hours a day, seven days a week. Our trains and network are evolving to meet the needs of our customers now and well into the future. We’re continuing to integrate technological innovations that help us deliver a smarter and more sustainable network. Join us Our workforce is as diverse as the community we serve. If you’d like further information on our inclusion and diversity initiatives, visit Transport careers. We offer a wide range of employee benefits, like our award-winning flexible and hybrid work options. This role is hybrid-friendly, meaning you can mix in-person days at your team’s home base location with remote days. What are you waiting for…? Connect with us. Apply now! Applications close: 11:59 pm Thursday, 2nd October 2025. For more information about this role, please contact TRANSPORT.NSW.GOV.AU. Aboriginal people and people living with disability are supported throughout the recruitment process and at work, and we encourage you to apply. Visit Supporting Aboriginal people or Supporting people with disability for more info or speak to your talent team member to arrange any adjustments to how you interact with us. Need some help with your application? Take a look at our application tips video series. LI-Hybrid tccsj" Job Segment: Database, Scientific, Research Scientist, Data Mining, Senior Scientist, Technology, Engineering, Science
