Lead AI Science & Value Realization

Vocus; Melbourne; On-site; AUD 180,000 - 270,000; Full time

Benefits offered by this job

Retail discounts

Generous leave

Study assistance

Wellbeing program

Job summary

Vocus is seeking a seasoned AI Scientist to lead the AI Science team in Melbourne. You will own modelling approaches for predictive and optimisation use cases, including churn, propensity and network capacity, and design rigorous experiments to prove value.

You will collaborate with data owners and Finance to ensure data quality, robust evaluation methods, and clear value realisation for strategic AI initiatives within a dynamic, inclusive culture.

Qualifications

• Background in applied ML or AI science with leadership experience.
• Strong statistics, experimentation and ML; Python and SQL.
• Experience with churn, pricing, forecasting or network analytics desirable.
• Clear communicator to non-technical leaders.

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.

Skills

Applied ML/AI science

Leading people

Statistics

Experimentation

Python

SQL

Churn analytics

Pricing analytics

Network analytics

Clear communication

Job description

Vocus is seeking a seasoned AI Scientist to lead the AI Science team in Melbourne. You will own modelling approaches for predictive and optimisation use cases, including churn, propensity and network capacity, and design rigorous experiments to prove value.

You will collaborate with data owners and Finance to ensure data quality, robust evaluation methods, and clear value realisation for strategic AI initiatives within a dynamic, inclusive culture.