You collaborate closely with business , , IT, and data teams to develop scalable analytics and machine learning models across logistics, warehousing, planning, and customer operations. * Collaborate closely with supply chain, customer service, finance, IT, and data teams to deliver impactful insights and solutions. * Work on real business questions such as demand forecasting, stock availability, delivery reliability, warehouse efficiency, route and logistics insights, service levels, and customer order behaviour. * Engage with (, logistics, operations, IT) to understand needs, communicate insights clearly, and drive adoption. * You bring hands-on experience in data science, analytics, or data engineering within a business context: supply chain experience is a strong plus. * You are able to apply analytics, machine learning, forecasting, and optimization techniques to solve real business problems.
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