Your role will be to lead the science behind Vocus’s AI: predictive models, optimisation and the experiments that prove value. Make sure model choices are evidence-based and results are measured properly.

Key Responsibilities Lead and develop the AI Science team

Own the modelling approach for predictive and optimisation use cases, such as churn, propensity and network capacity

Design experiments and measurement frameworks to prove incremental value against clear baselines and control groups

Partner with data owners to ensure data quality and fitness for priority AI use cases

Define and contribute to evaluation methods for generative AI solutions

Partner with Finance to provide robust evidence for benefits validation and value realisation

Act as AI Chief of Staff to the ELT, helping executives build their proficiency in using AI and embedding it into how they lead and work Skills &

Experience Background in applied ML or AI science, with experience leading people

Robust statistics, experimentation and ML; Python and SQL

Experience with churn, pricing, forecasting or network analytics desirable

Clear communicator to non-technical leaders.

📌 Manager, AI Science (Melbourne)
🏢 VOCUS
📍 Melbourne