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 ResponsibilitiesLead and develop the AI Science teamOwn the modelling approach for predictive and optimisation use cases, such as churn, propensity and network capacityDesign experiments and measurement frameworks to prove incremental value against explicit baselines and control groupsPartner with data owners to ensure data quality and fitness for priority AI use casesDefine and contribute to evaluation methods for generative AI solutionsPartner with Finance to provide robust evidence for benefits validation and value realisationAct as AI Chief of Staff to the ELT, helping executives build their proficiency in using AI and embedding it into how they lead and workSkills & ExperienceBackground in applied ML or AI science, with experience leading peopleStrong statistics, experimentation and ML; Python and SQLExperience with churn, pricing, forecasting or network analytics desirableClear communicator to non-technical leaders.
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📌 Manager, Ai Science (Melbourne)
🏢 VOCUS
📍 Melbourne