Founded in the Queensland outback in 1920, Qantas has grown to be Australia’s largest regional, domestic, and international airline. Qantas has a range of subsidiary businesses that support the overall operations of the Group. 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
As a Data Scientist you will be a thought leader in the research, development and deployment of forecasting and optimisation capabilities across the revenue management function. In this role you will identify revenue improvement opportunities through the development of mathematical modelling and optimisation capabilities and translate modelling and optimisation capabilities to support revenue management decision making.
You will play a key part in providing mathematical modelling and analysis capabilities to support critical decision making and applying structured and analytical thinking skills to solve complex problems.
Key Responsibilities:
- Identification of revenue improvement opportunities through the development of mathematical modelling and optimisation capabilities.
- Translating these modelling and optimisation capabilities into both software prototypes as well as mature software that is relied upon to support revenue management decision making.
- Providing mathematical modelling and analysis capabilities to support critical decision making.
- Applying structured and analytical thinking skills to solve complex problems.
You’ll have:
- Tertiary-level education in a relevant discipline, such as data science, econometrics, engineering, mathematics, statistics or applied physics.
- Strong understanding and experience working with statistical modelling, regression and time-series forecasting.
- Demonstrated experience in applying data science techniques to solve business and/or other applied problems.
- Demonstrated experience in python and SQL.
- Demonstrated ability to engage with end users and other stakeholders.
- Demonstrated ability to learn new skills and technologies ‘on-the-job’.
Desirable skills that a stand-out candidate may have:
- Experience with applying causal inference techniques to solve practical problems.
- Knowledge of data engineering/software development best practices, such as using scalable algorithms to handle large volumes of data, writing “clean” code and taking a structured approach to unit testing.
- Experience working with shell scripts and/or working in Linux.
Why Qantas?
You’ll join a team where creativity and passion are encouraged. Our people come together to allow us to dream big and deliver successfully.
There are many different opportunities across our team, which means you’ll be able to grow both personally and professionally at Qantas. Your development is a priority for us – so that you can maintain the high standards our customers have come to expect and can continue to develop over time. You’ll be supported from day 1 with on the job training and coaching as well as our formal training opportunities. While you may start in this role, we’ve got a great track record of supporting our people to take their career in so many different directions, the destinations are endless.
The Qantas employee benefits program offers amazing benefits that extend well beyond travel:
- We love to travel: Enjoy heavily discounted air travel within Australia and across the globe, both for you and your family and friends, as well as exclusive deals on accommodation and holidays.
- We have flexible leave options: Make use of leave and flexible working opportunities including 18 weeks paid parental leave (plus superannuation payments on all paid and unpaid parental leave until your child turns 1) and additional purchased leave options for eligible employees.
- We’ll give you access to thousands of rewards: Through our partnerships we can offer you discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment. You can also take advantage of our salary packaging program including motor vehicles, eligible portable electronic devices and professional memberships.
- We’ll support your wellbeing: Whether it’s learning to better support your own and others’ mental health, our interactive wellbeing app or your very own tailored nutrition plan.
Applications will close by the 28th of April
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