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nxzen is seeking a talented data science professional to join the Digital Reality team in Brisbane. The role focuses on developing advanced analytical, modelling and mathematical solutions for remote sensing, spatial and big data datasets.
You will design and implement machine learning and AI algorithms to support data processing, modelling and analysis, and work with the business team to deliver data-driven digital solutions that create commercial value.
nxzen is a global technology, consulting, and engineering partner supporting the energy, utilities, and national infrastructure sectors. We help organisations optimise performance, digitise operations, and build safer, smarter, and more resilient systems by combining deep domain expertise with innovative technology.
Our work spans the full infrastructure lifecycle, partnering with clients to deliver practical, outcome-driven solutions across operations, transformation, digital platforms, and engineering. Through our specialist teams and Centres of Excellence, we support the delivery of future-ready infrastructure that enhances efficiency, resilience, and long-term sustainability.
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nxzen collects high-density aerial LIDAR data covering the whole of Tasmania, greater Sydney, large parts of remote NSW and potentially other areas. You will be part of nxzen’s Digital Reality team who are tasked with collecting the data, building a digital twin, and extracting high value information from the dataset. You will be responsible for providing advanced analytical, modelling and mathematical support for developing technical solutions.
You will be required to develop and implement machine learning and artificial intelligence algorithms, to support the processing, modelling, and analysis of remote sensing, spatial and big data datasets. You will also be required to work with the business team to support the design and development of data driven digital solutions.
We welcome applications from graduate through to senior-level candidates. Your level of experience will be considered when assessing your skills and experience against the criteria below.
Experience in any of the following areas would be an advantage: