and freelancers across software development, infrastructure, and integration projects Translate commercial and operational challenges into smart, scalable technical solutions Use AI-powered tools to streamline workflows—e.g. AI for demandforecasting, automated reporting, task prioritisation, or supplier onboarding Build robust, modular systems that evolve with the business—from pilot stores to national scale Own project delivery end-to More ❯
data scientists. Key Responsibilities Own and execute the group-wide ML/AI strategy, aligning with key commercial priorities. Lead development and deployment of high-impact models (personalisation, churn, demandforecasting, pricing, etc.) into production. Establish governance and standards for model quality, explainability, and bias mitigation across jurisdictions. Drive adoption of MLOps best practices - CI/CD, automated More ❯
driving initiatives and improvements for data feeds into existing and future north bound products Proven experience in platform's software, and hardware lifecycle management, including roadmap definition, budget and demandforecasting, and ensuring end-to-end governance across all technical and commercial deliverables Demonstrable ability to lead initiatives with suppliers, vendors and narrow stakeholders, driving delivery to agreed More ❯
