Own end-to-end data and AI workstreams within enterprise customer deployments - from data discovery and architecture design through to live, production-grade pipelines on carbmee EIS™., Engage directly with customer data, IT, and sustainability teams to understand their data environments, ERP structures, and emissions reporting needs, and design scalable integration and modelling solutions., Build and deploy AI-powered pipelines for supplier emissions data collection, product carbon footprint calculation, spend-based estimation, and Scope 3 data quality improvement., Develop and fine-tune machine learning models and LLM-based workflows to enhance emissions data coverage, accuracy, and inference at scale., Integrate carbmee EIS™ with ERP systems (especially SAP), procurement platforms, and third-party data sources via APIs, data pipelines, and custom scripts (Python, SQL)., Transform and prepare complex, messy enterprise datasets for integration, ensuring consistency and alignment with carbmee's data model., Translate complex model outputs and data analyses into clear, executive-ready insights that drive decarbonization decisions., Feed data and AI learnings back to carbmee's product engineering team to continuously improve the intelligence capabilities of the EIS™ platform.