Bring on wonderful careers.

We're on a mission to bring new and uplifting experiences to our guests, transforming flying from simply 'nice', to something wonderful.

Like any good mission, this one starts with our people.

Which is why we encourage our team to embody the fun, laid back, authentic spirit we've become famous for. Because when they're free to be themselves, they're better able to own their personal responsibilities and go the extra mile to help our guests.

Job Overview

  • Work type:

    Full-Time (Permanent)

  • Location:

    Brisbane

  • Job type:

    Data & Analytics

  • Applications close:

Commercial Data Scientist

  • Brisbane based, full-time role with up to 2 days work from home each week.
  • Please note, this role cannot be performed from another city with commuting

Hello. We’re Virgin Australia. We’re the airline that’s always done things a little different. Our way. The Virgin way. We’re on a mission to make flying better than ‘nice’. And to do that, it takes a team of talented people who are passionate about customer experience, doing the right thing always, with a focus on safety – in the air, on the ground and in our workplaces. A team who values real diversity and inclusion, in a big brand with big ambitions.

What you’ll be doing

We're seeking a dynamic and data-driven Commercial Data Scientist to join our Commercial team full-time. This role offers the opportunity to work on a diverse range of projects across the Commercial Division, with a special focus on Revenue Management.

Key Accountabilities

  • Data Modelling & Analysis: Employ a variety of statistical and analytical methods to prepare, clean and transform data into business insights that explain commercial and operational trends for key stakeholders.
  • Predictive Modelling: Develop various data models to predict future commercial and customer trends, driving data-driven insights to support commercial decision-making.
  • Data-Driven Recommendations: Communicate data-driven conclusions and provide strategic recommendations to key stakeholders that optimise business processes and enhance commercial performance.
  • Stakeholder Collaboration: Collaborate closely with our Revenue management team and key stakeholders to validate and refine existing assumptions and processes, focusing on supporting commercial objectives.
  • Ad Hoc Analysis: Conduct ad hoc analyses to support multiple departments by compiling historical data and forecasting future trends, with a strong emphasis on revenue management.
  • Industry Research: Continuously research and evaluate industry trends, practices, and methodologies to enhance the company's operational philosophy and performance.
  • Champion Analytics Culture: Promote a culture of analytics and serve as a centre of excellence for data integrity and analysis needs within the Revenue Management team.

You’ll be great in this role if you have:

  • Experience: A minimum of 4 years in Data Analytics or Data Science.
  • Business Acumen: Ability to translate complex mathematical concepts into business-relevant insights for stakeholders, including executive-level management.
  • Technical Skills: Proficiency in analysing large quantities of data using tools such as SQL, Python, R, Power BI, DAX and advanced Excel
  • Machine Learning: Experience with machine learning on large datasets to identify drivers and make predictions.
  • Optimisation Modelling: Capability in creating optimization models incorporating revenue drivers and ultimately increase revenue.
  • Predictive & Operational Models: Ability to create various predictive and operational models and simulations, as needed.
  • You must be located in the greater Brisbane area, or willing to relocate to Brisbane.

When everyone is included, everyone wins

We’re all individuals. And we love that. That’s why we encourage applications from Indigenous Australians, people with disability, those from diverse cultural backgrounds, our friends in the LGBTQI+ community, and anyone else who wants to join our family.

Ready to apply?

We’re ready to hear from you. Apply now.

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