The Senior Data Scientist is expected to design, develop and deploy advanced analytical and machine-learning solutions that support Qantas business and customer outcomes. Requirements typically include substantial experience in data science, statistical modelling and machine learning, strong Python and SQL skills, and practical knowledge of cloud, data engineering or MLOps environments. The successful candidate should be comfortable working with large and complex datasets, communicating technical findings to non-technical stakeholders, and translating business problems into measurable solutions. Qantas will expect strong collaboration, commercial awareness, sound judgement, attention to data quality, and the ability to mentor other data professionals while delivering reliable, production-ready models.
Qantas Airways Limited is Australia’s national airline and one of the country’s most recognised aviation companies. Founded in 1920, the Qantas Group operates domestic and international passenger services, regional routes, freight operations and loyalty programs through brands including Qantas and Jetstar. Its headquarters are in Sydney, with major operational bases across Australia. The company employs a large workforce spanning flight operations, engineering, airports, customer service, technology, finance and corporate functions. Qantas uses data and digital products extensively to improve safety, operational efficiency, customer experiences, revenue management and loyalty services. As a major employer, it offers opportunities to work on large-scale, commercially important projects within a highly regulated and safety-focused industry.
Australia offers strong opportunities in technology, aviation, healthcare, engineering, construction, education and professional services, particularly in Sydney, Melbourne, Brisbane, Perth and Adelaide. Its culture is generally informal, multicultural and direct, with an emphasis on work-life balance and outdoor activities. Lifestyle options range from major-city dining and arts to beaches, national parks and quieter regional communities, although housing and living costs can be high in Sydney and Melbourne. Skilled professionals may explore employer-sponsored visas, the Skilled Independent visa, state-nominated pathways or temporary graduate options, depending on qualifications and occupation lists. Relocating usually requires checking visa eligibility, arranging health insurance, opening a bank account, obtaining a tax file number and planning accommodation. Australia’s large distances mean transport and location should be considered carefully before accepting a role.
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