End-to-End Solution Ownership: Own the technical solution lifecycle for data science and AI initiatives, from shaping requirements and defining the solution approach through to implementation support.
Advanced Modelling & Analysis: Apply advanced data science and machine learning techniques to solve complex business problems.
Production & MLOps: Design, build, and deploy robust, scalable, and maintainable machine learning models into production environments. Design and implement MLOps pipelines.
Strategic Impact: Contribute to the strategic direction of data science and AI initiatives, identifying new opportunities for innovation and help to shape best practices.
Stakeholder Collaboration: Work closely with clients and internal teams to understand their needs, translate requirements into technical solutions, and communicate findings to non technical audiences in a clear and c...