modelling Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular etc) Development of computer models and doing predictive and prescriptiveanalytics for various applications Build Proof of Concepts in notebooks, but also Integrate these algorithms into the operational flow of the customer, train the users and give support More ❯
Improvement: Stay on top of industry trends and best practices to drive innovation and continuous improvement in procurement orchestration. Find opportunities for process optimisation, automation and agentic AI, leveraging prescriptiveanalytics capabilities of Procurement Data Lake (where possible). Collaboration and Partner Engagement: Collaborate closely with industry technology partners, cross-functional teams, including LBPS operations, strategy and product More ❯
Change Management : Own the adoption journey — from stakeholder engagement and training to ongoing improvement and incident resolution. Innovation Focus : Stay ahead of market trends, identifying opportunities to embed automation, prescriptiveanalytics, and agentic AI into orchestration workflows. Team Building : Over time, you’ll have the opportunity to build a team focused on broader solution adoption — hiring specialists in More ❯
Change Management : Own the adoption journey — from stakeholder engagement and training to ongoing improvement and incident resolution. Innovation Focus : Stay ahead of market trends, identifying opportunities to embed automation, prescriptiveanalytics, and agentic AI into orchestration workflows. Team Building : Over time, you’ll have the opportunity to build a team focused on broader solution adoption — hiring specialists in More ❯
