Senior Manager Data Science & ML Engineering

Candidate Description

With over a decade navigating the energy, utilities and consulting sectors, this professional excels in driving end-to-end data strategies, advanced analytics and Machine Learning engineering at enterprise scale. Adept at aligning business objectives with robust AI governance frameworks, they leverage platforms such as Azure, AWS, Databricks and Apache Spark to deliver impactful, data-driven outcomes across organisations including a Major Energy Company, another Energy Company and a Global Manufacturing Company.

Their technical acumen is demonstrated through the design of multi-cloud ML platforms, modern data warehouses and ISO-aligned AI management systems. Proficient in Python, SQL, Azure Data Factory, Databricks and MLOps best practices, they have led cross-functional teams to deliver real-time analytics solutions, automate model lifecycle management and instil Agile methodologies. Key achievements span spearheading a world-class MLOps capability in under six months, architecting an enterprise ML platform and creating industry-first optimisation models at a Major Energy Company.

Complementing their technical prowess, they bring proven leadership in building high-performing data science and engineering teams, mentoring emerging data leaders and fostering collaborative cultures that translate complex analytics into strategic value. Their blend of strategic vision, hands-on expertise and stakeholder engagement positions them as a catalyst for innovation and sustainable competitive advantage in data-driven organisations.