Apply basic AI/ML and neural-network concepts, including embeddings, retrieval, model evaluation, surrogate-model awareness, and data preparation for engineering use cases.
Support end-to-end client delivery, collaborating with technical and business teams, participating in workshops, and communicating solutions and recommendations to stakeholders.
Assist in the rollout and adoption of Key Risk Indicators (KRIs) across the Group, including coordination with business units and local entities, data collection, reporting alignment, and monitoring of implementation progress.
Security Integration: Integrate agents with Elasticsearch, EDR, IAM/PAM, network security systems and threat intelligence platforms using Python, APIs and MCP where appropriate.
Work with clients and senior teammates to analyze business challenges, map workflows (service blueprints) to better understand customer journey in order to identify gaps and opportunities for AI/ML use cases.
Asset operational controls - To conduct control and review activities on assets, and to operationalise controls and ensuring all assets are tracked and tagged