Manager Revenue Management Data Science

2 days ago

Sydney, New South Wales, Australia Qantas Full time
Overview

About Us Founded in the Queensland outback in 1920, 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.

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.

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.
Benefits & Why Join
  • 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.
  • 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.
  • Access to thousands of rewards: Discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment, plus salary packaging options.
  • Wellbeing support: Mental health resources, wellbeing app, and tailored nutrition plan.

Applications will close by 18th of September


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