Lead Data Scientist

Location: Newcastle, NSW, au

Company Description

At Evergen, we are on a mission to accelerate the retirement of legacy generation assets by orchestrating over 10 GW of Distributed Energy Resources across the globe. Our team is an amazing mix of some of the smartest, curious and most diverse people from all over the world working together to speed the transition of the world to renewables.

Evergen is the software heart beating across the entire energy ecosystem. We optimise and orchestrate batteries and other technologies to collectively support the electricity grid, and in so doing we increase the uptake of renewable energy and create additional value for individual asset owners.

Owned and backed by Intellihub, Australia’s leading smart metering company, together we are simplifying and evolving the clean energy transition for all Australians. 

Job Description

As a Lead Data Scientist at Evergen, your responsibilities will include the following:

• Design and Implementation of Optimisation Models: Execute complex data modelling, statistical analysis, and machine learning projects to improve the efficiency of renewable energy systems, ensuring alignment with project goals and organisational objectives. 
• Data Quality and Integrity: Ensure the accuracy, reliability, and quality of datasets used in modelling and analytics, maintaining high standards for data handling and processing.
• Performance Monitoring and Reporting: Ensure implemented solutions produce expected results and communicate results, insights, and recommendations to internal and external stakeholders.
• Innovation and Continuous Improvement: Stay updated on industry trends, emerging technologies, and best practices in data science and renewable energy to propose and implement innovative solutions. Define what best practice means at Evergen and help foster a culture of excellence
• Collaboration with Teams and Stakeholders: Work closely with technical and business leads to align technical solutions with broader business strategies and customer needs and help mentor other data scientists within your team
• Compliance and Sustainability Goals: Ensure all optimisation strategies and implementations comply with regulatory requirements and contribute toward the organisation’s sustainability objectives.
• Promote a safe and healthy work environment and contribute to continual improvement in quality and performance at Evergen by complying with all relevant policies and procedures (Include – this is mandatory accountability for all staff)

Qualifications

• 5+ years of data science experience including 2+ years leadership experience
• Bachelor's, Master's, or Ph.D. in: Computer Science, Data Science, Artificial Intelligence, Machine Learning, Electrical/Mechatronic Engineering (with a focus on data systems or signal processing), Physics (with a computational focus), Applied Mathematics and Statistics, or similar
• Optimisation Knowledge: Hands-on experience implementing linear and mixed-integer linear optimisation in production environments, including familiarity with solvers (e.g., Gurobi, CPLEX, OR-Tools). Understanding of model predictive control principles
• Machine Learning: Strong foundations in time-series forecasting with practical experience in supervised/unsupervised learning
• Software development: Experience with Python, RESTful APIs (FastAPI), and Test Driven Development. Familiarity with ML frameworks (e.g., PyTorch, Scikit-learn)
• Leadership: Proven track record of building and mentoring data science teams, with strong coaching and communication skills
• Collaboration & Communication: Strong presentation skills and ability to communicate insights and collaborate with cross-functional teams including engineers, product managers, and stakeholders
• Ways of Working: Familiarity with Git, JIRA, and Agile methodologies

Bonus Skills

• Big Data & Cloud Technologies: Knowledge of cloud platforms (AWS, Azure, GCP), distributed computing tools (Spark, Hadoop), and data storage solutions
• Data Engineering: Proficient with SQL, data pipelines, and ETL processes
• Domain Knowledge: Understanding of load and PV forecasting, energy market operation, electrical systems and/or consumer energy resources

Additional Information

This role can be based in Newcastle or Sydney. We offer a dynamic and inclusive workplace that values collaboration and diversity. With a flexible hybrid working mode, we prioritise work-life balance while fostering personal and professional growth.

Our team is a diverse group of brilliant, curious, and passionate individuals working together to solve some of the world’s most pressing energy challenges.

If you’re excited to make a real impact on the future of energy, we’d love to hear from you! Submit your application today and help us build a sustainable energy future.