Data Scientist

Sorry, this job was removed at 08:12 p.m. (CST) on Monday, May 11, 2026
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Melbourne, Victoria, AUS
Hybrid
Information Technology • Marketing Tech • Transportation • Travel • Financial Services
The Role
Company Description

We’re Jetstar. You may know us for our famous low fares, but did you also know that we’ve flown more than 400 million customers since we launched in Australia in 2004? In fact, each week we operate around 3,000 flights to nearly 40 destinations across Australia, New Zealand, Asia and the Pacific. We also operate a fleet of more than 80 aircraft, including state-of-the-art Airbus A320/21 NEO aircraft and the Airbus A320 family and Boeing 787-8s. Every day we enable more people to takeoff to more places, more often.

Impressive numbers? What's even more impressive is the team of extraordinary people taking off together day in day out, flight after flight.

Our people are the real jet stars!

Job Description

  • Contribute to the Decisions Science & Systems within Commercial Science & Systems team
  • Flexible ways of working – hybrid model with 3 days onsite
  • Full time Perm Opportunity, based at our Head Office in Melbourne

 If you’ve ever thought about a career in aviation — now is the perfect time to take off with Jetstar! We are undertaking one of the biggest recruitment campaigns in our 20-year-history. Join us during an exciting period as we welcome more state-of-the-art aircraft, launch new international routes and continue our mission to help more people take off through low fares.

Jetstar is seeking an innovative Data Scientist to join our Commercial Science & Systems team and be a vital member of the Decision System function. This is an exciting opportunity for a motivated professional who thrives on analysing large, complex data sets to deliver actionable insights and build a competitive edge in the airline industry.

In this role, you will collaborate closely with Jetstar and Qantas commercial teams, the Jetstar Data Analytics team, Jetstar Digital and Marketing teams as well as external partners. Your work will directly influence the definition of pricing and product elasticity across fares and ancillary products, helping shape strategic decisions and drive revenue growth.

The core responsibilities of this role will be:

  • Enhance forecasting and price optimisation models and algorithms to ensure robust decision-making.
  • Use customer and booking interactions to inform product recommendations that enhance value for customers while supporting commercial outcomes.
  • Analyse, identify and describe relationships and patterns in data to uncover new opportunities.
  • Explore, integrate and develop new technologies and methodologies to advance analytics capabilities.
  • Proactively identify commercially valuable opportunities and define relevant hypotheses for testing.
  • Engage with peers across the business to discuss data meaning and complexity, fostering cross-functional understanding.
  • Work closely with stakeholders to determine their data requirements and deliver tailored solutions.
  • Take ownership of processes and systems from inception to implementation, ensuring quality and consistency.
  • Champion a culture of data-driven, customer-centric decision making throughout Jetstar.

To be considered, key skills will include:

  • Tertiary degree (or equivalent experience) in a highly analytical discipline (e.g. statistics, mathematics, physics, computer science, engineering)
  • Minimum three years’ experience in competitive consumer retail markets such as energy, financial services, insurance, telecommunications or airlines
  • Proven track record of leading the Analytics capability within a data-driven environment
  • Strong commercial acumen and negotiating skills
  • Ability to interact with, and influence, senior decision makers within the business
  • Demonstrable experience with programming languages for machine learning (Python, R, MATLAB, etc.)
  • Familiarity with advanced analytical techniques such as classification, regression and similarity matching and other machine learning, optimisation and data science techniques.
  • Familiarity with ML-Ops and software engineering principles.
  • First class communication and presentation skills and the ability to inspire a highly functional team
  • Competencies with Amazon Web Services ecosystem and scripting an advantage
  • Experience in data mining, relational databases
  • Excellent problem-solving skills with the ability to think creatively and ‘outside of the box

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!

Applications will close by the 11th of May

 

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The Company
HQ: Mascot, New South Wales
17,283 Employees
Year Founded: 1920

What We Do

We would like to acknowledge the Traditional Custodians of the local lands and waterways on which we live, work and fly. We pay our respects to Elders past and present. Spirit is everything to us, and joining the Qantas team means bringing your spirit to ours. We have over 26,000 exceptional employees, and every year we fly millions of customers around Australia and the world – together. If you hop on board with the team, you'll experience a workplace where creativity, diversity and innovation are encouraged. We aim to give every member of the Qantas Group the support to follow their dreams, face new challenges, and let their future take flight. Ultimately, people are our priority – those who work for us and those who travel with us. For the latest information on the cyber incident: https://bit.ly/3I7jNfM Member of the oneworld Alliance. Please read the Qantas LinkedIn House Rules at http://bit.ly/QFhouserules

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