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’.