Description
We are looking for a Data Scientist who thrives on creating value, not just building models. This role sits within the Asia Intelligence team, a pragmatic, product-minded group focused on shipping data and AI solutions that make an impact today.
Your core responsibilities:
- Design, build, and maintain machine learning models and AI products that are deployed in production and create measurable value for players and the business
- Contribute to personalisation and decisioning systems, including recommendation engines, segmentation models, propensity scoring, and Next Best Action frameworks
- Support the development of AI agent architectures and automation workflows that extend the team’s capacity to deliver intelligence at scale
- Translate complex stakeholder needs into well-scoped, pragmatic solutions, balancing model sophistication with delivery speed and operational sustainability
- Collaborate closely with data analysts, data engineers, and product stakeholders to ensure models are integrated, understood, and acted upon
In six months:
- You will have developed a strong working knowledge of our data infrastructure, player behaviour data, and live operations context across active titles
- You will have familiarised yourself with our suite of ML models spanning forecasting, propensity modelling, and player decisioning, and made meaningful contributions to at least one
- You will have expanded our AI/ML programme to cover additional player engagement scenarios and franchises, including personalisation and player decisioning capabilities
- You will have built trusted working relationships with key stakeholders, understanding their needs and how data science can serve them
In twelve months:
- You will be a core contributor to the evolution of our personalisation and player engagement capabilities, including our Next Best Action engine and propensity modelling programme
- You will have helped shape the roadmap for new AI product opportunities, drawing on a clear view of where ML and agent-based approaches can generate near-term value for the business