Lead Data Scientist – Energy Domain

📋 Description Lead design, development and optimization of time-series ML models for energy planning. Hands-on model development with modern software engineering and MLOps. Mentor junior data scientists and promote cross-functional collaboration. Translate business needs into data-driven solutions with stakeholders. Ensure models are robust, scalable and explainable with strong validation. Manage end-to-end lifecycle using Python, Azure ML and Databricks. 🎯 Requirements Advanced Python for data science and ML. Deep time-series modelling and forecasting experience. Production-grade ML development and deployment experience. Experience with large-scale datasets and data pipelines. Strong validation, evaluation, feature engineering and explainability. Git version control and MLOps practices. 🎁 Benefits Core Benefits: discretionary bonus, pension, health, life and critical illness cover. Mental Health: CareFirst, Unmind, Aviva consultations, in-house first aiders. Family-Friendly: maternity, adoption, shared parental leave, paid sickness leave. Holiday and Development: five weeks’ leave, training hours, business coach from day one. Additional Perks: online GP, backup care, Gympass, travel insurance, Cycle to Work. Season ticket loans and dental insurance.