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 data
• Apply domain understanding of HVAC/energy systems (chillers, AHUs, setpoint and scheduling logic) to interpret system behaviour, not just model outputs
• Train, deploy, and monitor models using Azure ML, including drift detection
• Use MLflow for model tracking and version management
• Process and validate messy SCADA/BMS exports into clean, reliable baselines
• Collaborate with engineering teams to ensure models reflect real system constraints and behaviour

Requirements:

• Strong Python skills, including pandas, scikit-learn, and PyTorch or TensorFlow
• Demonstrated experience with time-series analysis: forecasting and anomaly detection
• HVAC or energy-systems domain knowledge, or strong experience with adjacent industrial/IoT systems
• Hands-on experience with Azure ML (training, deployment, monitoring)
• Experience using MLflow for model tracking

Desirable:

• Background in maritime, shipping, or building/hotel operations
• Experience with dashboarding tools such as Grafana or Power BI
• Experience with edge-to-cloud data pipelines and industrial IoT data