Manager Revenue Management Data Science

Job Description

• Great opportunity to add significant value to the Qantas Group
• Permanent opportunity based at our Mascot office (hybrid working office available)
• Staff Travel Benefits from Day One

As a Manager Data Science, you will lead the research, development, and deployment of advanced forecasting and optimisation capabilities across the revenue management function. You will play a pivotal role in guiding a team of data scientists to identify high-impact revenue opportunities, oversee the development of mathematical forecasting models and their deployment in MLOps pipelines to ensure outputs are robust and work with stakeholders on using these outputs to drive business performance.

In this role, you will not only apply your deep technical expertise to solve complex problems but also mentor a team of senior and mid-level data scientists junior team members, influence strategic direction and collaborate cross-functionally to embed data science into core business processes.

Key Responsibilities

• 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.
• Drive the development of modelling and optimisation solutions that deliver measurable commercial outcomes.
• Oversee the design and implementation of scalable, enterprise-grade software that embeds data science capabilities into core business systems.
• Collaborate with stakeholders to align data science initiatives with business priorities, demonstrating commercial acumen and strategic thinking.
• Champion best practices in model development, deployment, and monitoring (MLOps), ensuring robustness and accuracy.
• Work with team and stakeholders to ensure timelines are met by balancing scope, team capacity and business needs.
• Facilitate continuous improvement in the team's ways of working.

You'll Have

• Postgraduate qualifications (e.g. Master's or PhD) or equivalent experience in data science, econometrics, engineering, mathematics, statistics, or applied physics.
• At least 2 years' experience managing data science teams and delivering complex projects with significant business impact.
• Expertise in statistical modelling, time series forecasting, optimisation and causal inference.
• Strong stakeholder engagement and communication skills.
• Demonstrated commercial acumen, with a track record of translating data science insights into strategic business decisions.
• Advanced proficiency in Python and SQL, with a solid understanding of software engineering principles and production-grade development.
• Familiarity with cloud-based data platforms e.g. Amazon AWS.
• Experience managing the full model lifecycle, including training, validation, deployment, and performance monitoring.

Why Qantas?

You'll join a team where creativity and passion are encouraged. Our people come together to allow us to dream big and deliver successfully.

There are many different opportunities across our team, which means you'll be able to grow both personally and professionally at Qantas. Your development is a priority for us – so that you can maintain the high standards our customers have come to expect and can continue to develop over time. You'll be supported from day 1 with on the job training and coaching as well as our formal training opportunities. While you may start in this role, we've got a great track record of supporting our people to take their career in so many different directions, the destinations are endless.

The Qantas employee benefits program offers amazing benefits that extend well beyond travel:

• We love to travel: Enjoy heavily discounted air travel within Australia and across the globe, both for you and your family and friends, as well as exclusive deals on accommodation and holidays.
• We have flexible leave options: Make use of leave and flexible working opportunities including 18 weeks paid parental leave (plus superannuation payments on all paid and unpaid parental leave until your child turns 1) and additional purchased leave options for eligible employees.
• We'll give you access to thousands of rewards: Through our partnerships we can offer you discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment. You can also take advantage of our salary packaging program including motor vehicles, eligible portable electronic devices and professional memberships.
• We'll support your wellbeing: Whether it's learning to better support your own and others' mental health, our interactive wellbeing app or your very own tailored nutrition plan.

Applications will close by 18th of September