About Aurizn We are an Australian owned Defence Technology company pushing the limits to support Australian and allied forces deliver a more secure future. Shape the world at Aurizn to make a real impact and join our team. A recognised Great Place to Work, Aurizn people are driven by our values; Think Clever, Always Deliver, Embrace the Unknown and Be Better Together. With an industry-leading suite of benefits including ongoing training and growth opportunities, a variety of leave types, health and wellness offerings, flexible working and more, a career with Aurizn empowers you to perform at your best and push the limits for a more secure future. Shape the world at Aurizn. The Opportunity Due to continued growth and a strong pipeline of projects, Aurizn is seeking Data Scientists across all levels of experience to register their interest in joining our talent pool for upcoming opportunities. This is a great opportunity to be considered for future roles as new projects are secured and our team continues to expand. The Role We are seeking a Scientist with strong foundations in Machine Learning and AI to support the development, testing and delivery of data‑driven solutions. This role is ideal for someone who is eager to build skills, contribute to meaningful defence projects, and work alongside experienced practitioners. Responsibilities, include, but are not limited to: Assist in developing, testing, and maintaining AI/ML models for real‑world applications. Analyse and visualise data to generate insights into the systems and simulations. Identify research challenges and choosing appropriate machine learning methods to enhance decision-making processes. Choose relevant features and prepare data sets for training, validation, and testing of machine learning models. Contribute to validation, documentation, and integration activities. Collaborate with engineers and other data scientists to support successful project delivery. What We Are Seeking Active NV1 security clearance is required. A degree in Computer Science, Engineering, Data Science, or a related field. Early career experience with Python and modern ML frameworks, either through work or postgraduate research. Strong written and verbal communication skills, and a willingness to learn and grow in a collaborative environment. Experience in secure or regulated environments, or familiarity with competency frameworks, is beneficial but not essential.