Senior Data Scientist bei Ticketek Entertainment Group

Description

About Ticketek Entertainment Group

Ticketek Entertainment Group is a global fan experience company that tickets, promotes and delivers live experiences that are impossible to forget.  In a distracted world where nothing beats real human moments, We make life better live!

Our Group includes; our Fan Experience Platform (Ticketek) that sells tickets and provides value added services, Event promoting, with businesses across Touring (TEG Touring), Sport (TEG Sport), and Family Experiences (TEG Experiences) and our digital business (Ovation) which focuses on delivering seamless data-driven outcomes for our fans and partner

About the Role

As Senior Data Scientist, you will provide the deep technical expertise and theoretical rigor required to build TEG's next generation of AI products. Supporting the Principal and Lead Data Scientists, you will bridge the gap between cutting-edge research and production-ready applications. Partnering with ML Engineers and Product teams, you will ensure technical excellence through the implementation of production-grade CI/CD, Dockerisation, and robust model monitoring. Your primary goal is to elevate the team’s technical execution, ensuring every solution is built on a foundation of scientific excellence and scalable engineering.

Requirements

What a day in the life looks like?

• SOTA Implementation: Implement state-of-the-art (SOTA) machine learning and Generative AI solutions and apply deep theoretical understanding to develop pragmatic solutions spanning from traditional machine learning to advanced GenAI techniques that drive real business outcomes.
• Solution Design Support: Partner with the Principal and Lead Data Scientists to provide technical feasibility assessments and research-backed insights for the AI roadmap.
• Experimentation & Measurement: Implement robust frameworks experimentation and measurement frameworks to quantitatively measure model performance and overall business impact.
• Development and Operational Delivery: Write production-quality code to develop and refine models, partnering with ML Engineers to deploy these solutions in cloud platforms.
• Vertex AI Mastery: Design and implement end-to-end AI solutions using the full Vertex AI ecosystem, including Pipelines, Agent Garden, and Vertex Search.
• Stakeholder Collaboration: Act as a trusted advisor, translating complex model behaviours and AI-driven business impacts into actionable insights that align technical delivery with TEG's broader commercial strategy.

About you

Essential experience & skills:

• Minimum 5 years experience in delivering high-impact data science projects from inception to production, ideally within a high-volume e-commerce or digital environment.
• A tertiary degree in a quantitative field such as Statistics, Mathematics, Engineering, Computer Science, or a related discipline.
• Significant theoretical and practical experience in at least two of our core delivery areas: recommendation engines, pricing optimisation, or customer lifecycle modeling. Proven experience building GenAI and Agentic AI solutions is a plus.
• Proven ability to design experimental frameworks and apply statistical methods to validate model performance and business uplift.
• Advanced skills in BigQuery and Python, and hands-on experience with GCP and Vertex AI.
• Extensive experience working in a collaborative software development environment, including version control (Git) and CI/CD pipelines.
• Possess the ability to communicate technical concepts and experimental outcomes to stakeholders at all levels.

Benefits

Here’s a taste of what TEG offers: 

• Complimentary event tickets
• Birthday and volunteering leave
• Wellbeing discounts & flu vaccinations
• Paid parental leave & free employee support (EAP)
• Global rewards and recognition
• Learning, development & career pathways
• A diverse, inclusive, and passionate team

Equal opportunities

TEG is an equal opportunity employer committed to embrace diversity, respect, and care for our people and communities. 

If there are any adjustments that need to be made to ensure you have a fair and equitable experience in our recruitment process, please advise us when scheduling your interview. 

*Only direct applications will be considered. No recruiters please*