work with a group of data scientists in the development of recommendation and personalisation models using statistical, machine learning, and data mining methodologies
design, build, test, deploy, and operate data science and AI services end-to-end in an agile, product-focused team
take full ownership of recommender system and AI initiatives from problem framing and data exploration to production deployment and continuous optimisation
develop and evolve scalable ML services and pipelines that are reliable, observable, and resilient in production environments
design, run, and analyse A/B tests to generate sustainable impact for readers and the business
collaborate closely with software engineers, data engineers, and architects to integrate ML solutions into scalable system architectures
continuously improve methodologies, tooling, and experimentation standards across the organisation