The Lead Data Scientist is responsible for building and maintaining the sophisticated data science capabilities that will power Jetstar's continuous pricing transformation and ancillary revenue optimisation, unlocking over $35 million in annual revenue.

This is a rare opportunity to own the complete data science model lifecycle for a mission-critical commercial system. You will build in-house pricing algorithms optimised for Jetstar's unique LCC business model, work at the cutting edge of airline revenue management and collaborate with Qantas Group to build next-generation total revenue management capabilities. Your models will directly impact millions of dollars in revenue while establishing the data science foundation for Jetstar's digital retailing strategy.

If you're passionate about applying advanced data science to solve complex commercial problems and want to see the tangible impact of your work on business performance, this role offers an exceptional opportunity to shape the future of airline pricing.

The core responsibilities of this role will be:

• Pricing Model Development & Optimisation - Build and refine data science models for ancillary pricing across Jetstar's growing product portfolio
• Optimise existing flight pricing data science models to enhance revenue capture and price responsiveness
• Develop pricing algorithms that balance revenue maximisation with demand elasticity across diverse product categories (baggage, seats, meals, bundles, etc.)
• Ensure models are production-ready, scalable, and integrate seamlessly with Jetstar's core systems
• Data Enrichment & System Integration. Build data pipelines that enable real-time or near-real-time model updates based on customer behaviour, booking patterns and market dynamic
• Continuous Model retraining, Optimise model configurations to maintain peak performance across evolving business conditions

To be considered, key skills will include:

• Advanced degree (Masters or PhD) in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or related quantitative field
• Relevant certifications in machine learning, AI, or data science frameworks advantageous
• Minimum 5 years of experience in data science, machine learning, or advanced analytics roles.
• Experience in airline revenue management, pricing or commercial analytics is highly regarded
• Advanced proficiency in Python, R, or SQL for data manipulation, statistical analysis, and predictive modelling
• Experience with revenue management systems and pricing engines; familiarity with continuous pricing, willingness to pay and deterministic forecasting (bid price) models is preferred.
• Proficiency in data visualization tools (Tableau, Power BI) and cloud platforms
• Excellent communication and presentation skills with ability to explain complex technical concepts to non-technical audiences
• Deep understanding of revenue management principles including willingness to pay, price elasticity, demand forecasting.

Your life at Jetstar is unlike any other

• Live the travel dream: You and your nominated travel companions can take-off more with our famous Qantas Group Staff Travel discount.
• Make work feel like a holiday: Join a fun, driven team where work feels like a holiday. Our people take every opportunity to take-off together and find ways to help their teammates soar.
• There's a place for everyone at Jetstar: For us, travel and meeting new people go hand in hand. We invite our people to get involved in various Employee Network Groups that play an important role in creating our inclusive and supportive culture that we are fiercely proud of. We believe that teams with a diversity of ideas and experiences are more creative, innovative and solve problems quickly. We welcome applications from anyone who wants to take-off with us. If you have support or access requirements, just reach out and let us know what you need.

We're Jetstar. Let's take-off together!