Ticketek Entertainment Group (TEG) is a Live Experience Group that helps people discover, access and experience the unforgettable. We believe Life is better live®.

With over 50 years in live entertainment, we sell more than 30 million tickets annually, connect with 30 million fans across Australia and New Zealand, and bring 18,000+ events to life each year. Headquartered in Sydney, we operate globally across eight pillars: Ticketing, Live Touring, Sport, Immersive Experiences, Customer & Data Solutions, Venues, VIP Experiences and Partnerships. Through our integrated operating model, we bring the best live content, ticketing and technology to our partners and create unforgettable memories that last a lifetime

Our values guide everything we do: we partner with purpose, empower boldness within clear boundaries, and celebrate human connection – always putting the fan first.

The Role

As Lead Data Scientist, you will oversee the end-to-end development of multiple data science and AI products, taking projects from early prototypes, to stable production-grade systems.

This is a hands-on technical leadership role where you will deliver measurable business value through recommendation systems, dynamic pricing and customer segmentation, while supervising Data Scientists and partnering with ML Engineers and Product teams to bring together traditional machine learning and emerging agentic AI frameworks. Your focus is the technical rigour that drives a consistent, data-driven decision-making culture across our entertainment business.

Requirements

Outcomes to Deliver

- State-of-the-art architectural leadership: Architect and lead the delivery of state-of-the-art machine learning and Generative AI solutions, setting technical standards that take the team beyond off-the-shelf implementations. Everything from predictive modelling to agentic AI is scientifically sound, commercially viable and built for long-term operational excellence.
- Technical roadmap: Translate broad business strategy into concrete technical execution plans, in collaboration with the Principal Data Scientist.
- Experimentation and measurement:



Lead the design and implementation of robust experimentation and measurement frameworks that quantify the performance and business impact of our solutions.
- Development and operational delivery: Write production-quality code to develop and refine models, partnering with Machine Learning Engineers to deploy solutions on cloud platforms.
- Trusted advisor: Build and maintain trusted relationships with technical leads and business stakeholders, translating complex model behaviour and AI-driven impact into clear, actionable reports that connect technical delivery to TEG’s commercial strategy.
- Mentorship and standards: Mentor Data Scientists and lead the transition from experimental notebooks to production-grade systems

Capabilities to Bring

- Proven delivery: 7+ years leading and delivering data science projects from inception to production, ideally in a high-volume e-commerce or digital setting, with a strong technical background in a major cloud ecosystem.
- Quantitative foundation: A tertiary degree in a quantitative field such as Statistics, Mathematics, Engineering, Computer Science or a related discipline.
- Core technical expertise: Significant theoretical and practical experience in recommendation engines, pricing optimisation and customer lifecycle modelling, plus proven experience building GenAI and Agentic AI solutions.
- Quantitative rigour: A proven ability to design experimental frameworks and apply statistical methods to validate model performance and business uplift.
- GCP stack proficiency: Advanced skills in BigQuery and Python, with hands-on experience in GCP and Vertex AI (a must).
- Engineering standards: Extensive experience in a collaborative software development environment, including version control (Git) and CI/CD pipelines.




- Elite communication: You can articulate complex theoretical concepts and technical trade-offs clearly to both technical leads and broader stakeholders.
- Mentorship: A track record of growing junior data scientists into senior contributors through coaching in production engineering, technical rigour and scientific excellence.

Benefits

We’re Australasia’s home of live entertainment – from stadium tours to your local comedy show – and we look after the people who make it happen.

- Front row perks: Front row and backstage access to live moments – free and discounted tickets to shows, sport and festivals across our network, plus presales and staff allocations for major on-sales
- A global stage: Headquartered in Sydney with offices across seven countries and four continents, working alongside some of the biggest names in Australian and international live entertainment
- Flexibility: Hybrid and flexible working, with flexible hours where your role allows
- Parental leave for everyone: Paid leave for primary caregivers regardless of gender, with real support returning to work
- Leave, your way: Annual leave plus extras like birthday leave and purchase leave
- Your backstage crew: Confidential support via our Employee Assistance Program (EAP), including career coaching for you and your family, plus free flu vaccinations
- Giving back: One paid volunteer day a year to support our community
- Your next act: Structured development programs like Ticketek Academy, secondments to major events, and career paths tailored to your interests and skills
- Recognition that means something: ALL STAR Awards and service milestones, celebrating the people and teams who bring our values to life every day

TEG is an equal opportunity employer committed to embracing a diverse and inclusive work environment.

If this sounds like the opportunity for you, we welcome you to apply. We believe in creating a place where our people can do their best work!

Learn more about TEG here – www.TEG.com.au

Only direct applications will be considered. No recruiters please

📌 Lead Data Scientist (Sydney)
🏢 Ticketek Entertainment Group
📍 Sydney