Job Description
Overview
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About Us Founded in the Queensland outback in ****, Qantas has grown to be Australia's largest regional, domestic, and international airline. The Qantas Group's main business is the transportation of customers and freight using two complementary airline brands — Qantas and Jetstar — operating regional, domestic, and international services.
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Job Description Great opportunity to add significant value to the Qantas Group. Permanent prospect based at our Mascot office (hybrid working office available). Staff Travel Benefits from Day One.
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Responsibilities
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Lead and manage a team of 4-5 data scientists, providing technical guidance, mentorship and career development to foster a high-performing and engaged team.
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Drive the development of modelling and optimisation solutions that deliver measurable commercial outcomes.
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Oversee the design and implementation of scalable, enterprise-grade software that embeds data science capabilities into core business systems.
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Collaborate with stakeholders to align data science initiatives with business priorities, demonstrating commercial acumen and strategic thinking.
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Champion best practices in model development, deployment, and monitoring (MLOps), ensuring robustness and accuracy.
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Work with team and stakeholders to ensure timelines are met by balancing scope, team capacity and business needs.
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Facilitate continuous improvement in the team's ways of working.
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You'll Have
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Postgraduate qualifications (e.g. Master's or PhD) or equivalent experience in data science, econometrics,



engineering, mathematics, statistics, or applied physics.
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At least 2 years' experience managing data science teams and delivering complex projects with significant business impact.
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Expertise in statistical modelling, time series forecasting, optimisation and causal inference.
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Strong stakeholder engagement and communication skills.
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Demonstrated commercial acumen, with a track record of translating data science insights into strategic business decisions.
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Advanced proficiency in Python and SQL, with a solid understanding of software engineering principles and production-grade development.
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Familiarity with cloud-based data platforms e.g. Amazon AWS.
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Experience managing the full model lifecycle, including training, validation, deployment, and performance monitoring.
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Benefits & Why Join
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We love to travel: Heavily discounted air travel within Australia and across the globe, for you and your family and friends, plus exclusive deals on accommodation and holidays.
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Flexible leave options: 18 weeks paid parental leave (plus superannuation on all paid and unpaid parental leave until your child turns 1) and additional purchased leave options for eligible employees.
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Access to thousands of rewards: Discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment, plus salary packaging options.
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Wellbeing support: Mental health resources, wellbeing app, and tailored nutrition plan.
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Applications will close by 18th of September
#J-*****-Ljbffr

📌 Manager Revenue Management Data Science (New South Wales)
🏢 Qantas
📍 New South Wales