Data Scientist

Job Title: Data Scientist — HVAC Energy Optimization (Maritime)Job Description:We are looking for a Data Scientist to support a project applying machine learning to optimize HVAC and energy systems within a maritime operational environment. This role involves turning real-world sensor data into validated models that inform energy efficiency decisions, working closely with engineering teams to ensure model outputs translate into practical operational improvements.Responsibilities:Develop time-series forecasting and anomaly detection models using noisy, real-world sensor dataApply domain understanding of HVAC/energy systems (chillers, AHUs, setpoint and scheduling logic) to interpret system behaviour, not just model outputsTrain, deploy, and monitor models using Azure ML, including drift detectionUse MLflow for model tracking and version managementProcess and validate messy SCADA/BMS exports into clean, reliable baselinesCollaborate with engineering teams to ensure models reflect real system constraints and behaviourRequirements:Strong Python skills, including pandas, scikit-learn, and PyTorch or TensorFlowDemonstrated experience with time-series analysis: forecasting and anomaly detectionHVAC or energy-systems domain knowledge, or strong experience with adjacent industrial/IoT systemsHands-on experience with Azure ML (training, deployment, monitoring)Experience using MLflow for model trackingDesirable:Background in maritime, shipping, or building/hotel operationsExperience with dashboarding tools such as Grafana or Power BIExperience with edge-to-cloud data pipelines and industrial IoT data