Data Science Project Manager

Job Description Data Science teams provide insights and conclusions from multiple sources of information in a variety of different formats using analysis techniques that range from the simple to the advanced. • Project management and change management frameworks • Effective visualization and presentation • Statistical & probabilistic analyses • Machine learning methodologies, including GenAI • Programming/software development Position responsibilities (including but not limited to): • Fully own and lead the delivery of 2-3 data science projects concurrently • Define the projects direction, scope, timelines, and deliverables in close collaboration with business stakeholders • Ensure that the insights delivered are actionable • Collaborate and liaise with technical and non-technical teams across all of National Grid and, occasionally, externally • Staff project pods with a combination of internal National Grid data scientists and external contractors/consultants • When projects require - be able to contribute hands to the keyboard (Python) • Be intellectually curious and enjoy learning Requirements: • Exceptional project management, change management, and stakeholder management skills • Fluency in AI/ML tools and techniques, including GenAI/Agentic AI • Experience with cloud computing (Azure is a plus) • Masters degree in a quantitative discipline, exceptional candidates considered with Bachelors degree or Masters degree in progress Preferred skills: • Energy or utility experience • Active github repository and stackoverflow account • Data Science competition entries (kaggle, kdnuggets, etc.) • GIS knowledge (ArcGIS is a plus) • Interactive visualization tools (PowerBI is a plus) • Knowledge of Agile frameworks