ROLE & RESPONSIBILITIES: Translate business problems into data-driven and AI-enabled solutions Perform exploratory data analysis to uncover patterns, issues, and opportunities Design, build, and maintain data pipelines to support analytics and modelling use cases Develop, train, evaluate, and iterate on machine learning and AI models Apply appropriate model evaluation techniques and define success metrics Support operational data workflows and resolve day-to-day data processing issues when required Produce clear dashboards, reports, and visualisations for stakeholders Communicate insights, model behaviour, and recommendations to both technical and business audiences Collaborate closely with data engineering, AI platform, and observability teams to productionise solutions Contribute to best practices around data quality, governance, and responsible use of AI QUALIFICATIONS/EXPERIENCE: Is outcome-driven, not model-driven Is comfortable working close to data pipelines and production constraints Can explain models and uncertainty to business stakeholders Collaborates naturally with platform, AI engineering, and observability teams Understands that trust, transparency, and governance are as important as accuracy Submit your CV to: