Job Description The data science team develops, builds and delivers data science products to provide insights and solutions to business problems. Key responsibilities include gathering and analyzing data, developing and implementing data science models, and communicating findings to stakeholders. We push the envelope in what is possible and work on new and novel implementations of data science techniques. Areas of focus for the team include implementing generative AI to aid our content creation stakeholders, building recommendation and personalisation solutions and forecasting important metrics to drive data driven decision making. Day to day you will: Building and managing scalable machine learning pipelines for various stages from training to deployment. Working with data scientists to move models from development to production environments. Developing and managing CI/CD and continuous training workflows for ML models. Implementing monitoring for production models and optimizing them for performance, scalability, and cost. Working with data and platform engineers to ensure data quality and build efficient data pipelines for AI/ML. Continuously learning and applying the latest industry best practices. Championing best practices within the data science team, including code quality and testing. Contributing to a collaborative culture through knowledge sharing and mentorship. Adhering to data privacy regulations and ethical standards for all machine learning systems.
