Data Scientist, Energy Analytics & Predictive Modeling

Women In Digital International; Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

Shell Energy in Melbourne is seeking a Data Scientist to join our Digital & Technology Solutions team. You will build and maintain data science products, develop predictive models and support analytics-driven decision making across the business.

Reporting to the Lead Data Scientist, you will work with data engineers and analysts, applying statistical methods, forecasting and energy analytics to drive efficiency and growth in a dynamic energy market.

Qualifications

• Tertiary qualification in Data Science, Statistics, Mathematics, Computer Science, Engineering or a related discipline.
• Demonstrated experience developing and deploying data science, machine learning and advanced analytics solutions in a commercial environment.
• Excellent programming skills in relevant data science technologies and tools, with experience working across the end-to-end model development lifecycle.

Responsibilities

• Develop, deploy and maintain data science-based products that support Shell Energy’s strategic objectives and business performance.
• Design and implement advanced analytics and machine learning models to solve complex business problems, including customer churn prediction, load behaviour analysis, forecasting, demand response analysis and energy optimisation.
• Work closely with internal stakeholders to understand business requirements and translate them into practical, data-driven solutions.
• Apply DevOps principles to support the ongoing operation, maintenance and continuous improvement of data science products and services.
• Participate in product support activities, including troubleshooting and remediation of technical issues to maintain service quality and reliability.
• Collaborate with data engineers, analysts and broader technology teams to ensure effective delivery of scalable and robust analytics solutions.
• Monitor, evaluate and improve the performance of models and analytical solutions, ensuring outputs remain accurate and fit for purpose.
• Contribute to the development of best practices, standards and processes that support data science capability across the organisation.
• Communicate insights and recommendations effectively to both technical and non-technical stakeholders, supporting informed business decision-making.

Skills

Data Science

Machine Learning

Statistical Analysis

Python

End-to-end ML lifecycle

Education

Tertiary qualification in Data Science, Statistics, Mathematics, Computer Science, Engineering or related

Tools

DevOps

Forecasting

Energy analytics

Job description

Shell Energy in Melbourne is seeking a Data Scientist to join our Digital & Technology Solutions team. You will build and maintain data science products, develop predictive models and support analytics-driven decision making across the business.

Reporting to the Lead Data Scientist, you will work with data engineers and analysts, applying statistical methods, forecasting and energy analytics to drive efficiency and growth in a dynamic energy market.