Manager, AI Science

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

• Permanent role

Are you looking for an awesome place to work, where you can proudly be your authentic self, and be part of #oneteam?

We are looking for a passionate team player who aligns with our values and culture, takes pride in their unique contributions, and can challenge the status quo with disruptive thinking. If this sounds like you, come and join us!

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
• Strong statistics, experimentation and ML; Python and SQL
• Experience with churn, pricing, forecasting or network analytics desirable
• Clear communicator to non-technical leaders.

What We Offer

Working at Vocus will give you rewarding experiences and the opportunity to do extraordinary work. You will enjoy:

• Diverse and dynamic teams with a supportive and inclusive culture.
• Supportive career development plans with comprehensive ongoing training, support, and development opportunities.
• Generous discounts to over 400 retailers.
• Competitive leave options, including anniversary leave, purchased leave, parental leave, volunteering leave, study leave, and 5 extra days of Vocus leave each year, plus more.
• Study assistance programs to excel your personal growth, learning and development.
• Health and wellness offerings, including access to our wellbeing initiatives that can help you from a financial, psychological, and physical perspective.

Working at Vocus is never just a job – it’s personal. We’re crazy about our customers and believe our people are the difference. Our wonderfully diverse team and a vibrant culture define us. We care about the impact we have on our people, our customers, and our communities and are committed to operating as a responsible, ethical business.

We pride ourselves on setting audacious and ambitious goals and believe that we can play our part in changing the Australian telecommunications landscape and make a fundamental difference to people’s lives.

With us, you’ll have the opportunity to lead and inspire teams, work on projects that are shaping the future of telecommunications and become part of a culture that thrives on creativity, encourages new ideas, and provides a collaborative and inclusive environment.

About Us

As Australia’s specialist fibre and network solutions provider, we own and operate 25,000km of secure, high-capacity fibre connecting people, businesses, governments, and communities across Australia to the world. Through our well-known retail brands, we deliver simple and affordable broadband, mobile, voice and energy services with the purpose of Building Critical Connections. Enabling Better Possibilities.

Ready to take the next step?

If you like the sound of this role and think you’d do a great job, but are worried you don’t tick every box, we encourage you to back yourself – we know that diverse groups are less-likely to apply for roles they’re not 100% qualified for, but just as likely to succeed at them!

We are a proud equal opportunity employer committed to providing a safe, diverse, and inclusive working environment where all our team members feel like they belong. We know diversity makes us stronger and we encourage applications irrespective of background, age, origin, gender, sexual orientation, identity, or ability.

If you feel comfortable, please let us know if you have any accessibility requirements upon application, so we can make any adjustments required to support you throughout our recruitment process.