b Overview /b p In this role you will help clients fuse supply chain expertise with data and AI to drive measurable value. You will work with cross-functional teams to diagnose issues, model demand and inventory, and prototype AI-enabled solutions. You’ll contribute to multi-disciplinary projects, deliver client-ready outputs, and deepen your expertise across data, AI, and supply chain delivery. This opportunity offers hands-on client exposure, structured development, and a path to shape AI-enabled supply chains at scale. /p b Pay / Benefits /b ul li 30 days vacation per year /li li private medical insurance /li li 3 extra days leave per year for charitable work /li /ul b Responsibilities /b ul li Analytical diagnostics and insights to surface value for clients (e.g., spend analysis, demand and inventory modelling) /li li Explore, prototype and deploy AI, ML, and automation for supply chain use cases /li li Contribute to consulting engagements through structured problem-solving, data modelling, and recommendations /li li Engage with clients through workshops and interviews; translate findings into outputs /li li Produce client-ready materials (data visuals, analyses, AI use-case assessments, roadmaps) /li li Work with platforms such as SAP S/4HANA, Kinaxis, o9, Coupa, Celonis, Azure ML, Databricks, Power BI; learn related data and AI capabilities /li li Contribute to thought leadership and reusable assets; stay current on AI developments in supply chain /li /ul b Key requirements /b ul li Analytical, curious, and motivated to apply AI in real-world supply chains and operations /li li 2–5 years of experience in supply chain, procurement, operations, data analytics, data science, or technology consulting /li li Understanding of supply chain concepts (demand planning, S OP/IBP, procurement, inventory management, logistics, manufacturing operations) /li li Data/AI capability with Python, SQL, R or BI tools; exposure to ML, automation, or analytics tooling in a supply chain context is a plus /li li Familiarity with supply chain, ERP, procurement, or analytics/Decision Intelligence platforms; interest in AI integration with these systems /li li Structured problem-solving, narrative building from data, and evidence-based recommendations /li li Strong written and verbal communication for deliverables and presentations /li li Interest in sustainability, resilience, regulatory requirements (EUDR, CSDDD), and ethical AI in supply chains /li li Relevant degree in Supply Chain, Engineering, Computer Science, Mathematics, Business, Data Science or equivalent; travel willingness /li /ul ul li Analytical mindset /li li Strong communication and presentation skills /li li Structured problem-solving and narrative-building /li li Python /li li SQL /li li R /li /ul
Supply Chain and AI Domain Consultant employer: Accenture
Accenture is an excellent employer for those looking to thrive in a dynamic environment, particularly in the role of Operations Engineer. With a strong focus on employee growth and development, you will have the opportunity to collaborate with senior colleagues while enjoying flexible work arrangements that promote a healthy work-life balance. The company's commitment to continuous improvement and innovation makes it a rewarding place to build your career.
