Manager Revenue Management Data Science

Qantas; Sydney; Hybrid; AUD 130,000 - 150,000; Full time

Benefits offered by this job

Heavily discounted air travel

18 weeks paid parental leave

Employee discounts

Mental health resources

Job summary

A leading airline company in Sydney is seeking an experienced Data Science Team Leader to manage and mentor a team. This role involves driving the development of impactful data solutions while collaborating closely with stakeholders. The ideal candidate will have postgraduate qualifications, experience in team management, and proficiency in Python and SQL. This position offers hybrid work options, travel benefits, and excellent employee rewards.

Qualifications

• At least 2 years’ experience managing data science teams.
• Experience delivering complex projects with significant business impact.
• Solid understanding of software engineering principles.

Responsibilities

• Lead a team of data scientists, providing technical guidance.
• Drive the development of modelling and optimisation solutions.
• Oversee design and implementation of scalable software.
• Align data science initiatives with business priorities.
• Champion best practices in model development.
• Ensure timelines are met balancing scope and needs.
• Facilitate continuous improvement in the team.

Skills

Statistical modelling

Time series forecasting

Optimisation

Causal inference

Stakeholder engagement

Strong communication skills

Python

SQL

Education

Postgraduate qualifications in relevant field

Tools

Cloud-based data platforms (Amazon AWS)

Job description

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