Meteorology & Data Science Lead

Snowy Hydro; Cooma; Hybrid; AUD 140,000 - 200,000; Full time

Benefits offered by this job

Additional annual and personal leave,

30 weeks of paid primary carer leave

Wellness programs

Continous learning and study support

Smartphone work/personal use

Corporate discounts on utilities/tech

Job summary

Snowy Hydro is seeking a Scientific Services Lead to join its operational trading and generation team in Sydney. You will manage short-term meteorological, hydrological, and electricity demand forecasts and deliver broader data science solutions across the business.

Your time will be split across weather forecasting (50%), data stewardship and vendor management (20%), and data science innovation (30%), focusing on automated processes to unlock high-value capabilities.

Qualifications

• Tertiary qualification (Postgraduate preferred) in Meteorology, Atmospheric Science, Hydrology, or a closely related quantitative discipline.
• Proven expertise in 1–2 week operational weather, water inflow, solar, and energy demand forecasting within the NEM or water resource management contexts.
• Advanced proficiency in programming languages (e.g., Python) for data science, modeling, quantitative validation, uncertainty analysis, and process automation.
• Commercial acumen to manage vendor contracts, identify high-quality external data streams, and streamline third-party integration.
• Collaborative mindset with strong communication skills to partner effectively with cross-functional teams, trading desks, and operational stakeholders.

Responsibilities

• Implement, maintain, and automate high-resolution weather, catchment inflow, and snowpack models covering operational areas, capital cities, and NEM demand centres.
• Deliver mission-critical operational advice during extreme weather and temperature events, supporting energy trading, water resource management, and asset safety.
• Source, procure, and manage commercial contracts with external data and forecast suppliers, continuously monitoring product quality and performance.
• Lead innovation and data science projects to develop custom analytical tools, interactive displays, and predictive models for Trading, Operations, and Commercial business units.
• Conduct internal knowledge-transfer and training sessions to build meteorological awareness and self-service capabilities across the organisation.

Skills

Meteorology

Python

Forecasting

Data science

Vendor management

Cross-functional collaboration

Education

Postgraduate degree in Meteorology or related

Tools

Python

Job description

Snowy Hydro is seeking a Scientific Services Lead to join its operational trading and generation team in Sydney. You will manage short-term meteorological, hydrological, and electricity demand forecasts and deliver broader data science solutions across the business.

Your time will be split across weather forecasting (50%), data stewardship and vendor management (20%), and data science innovation (30%), focusing on automated processes to unlock high-value capabilities.