Shape your future with a career at Shell Energy.

Shell Energy combines deep expertise and true innovation to help our electricity and gas customers navigate a rapidly changing market. We’re seeking people who bring the drive to succeed in providing the energy businesses and households need for today and tomorrow.

We’re seeking a Data Scientist to join our high-performing Digital & Technology Solutions team in Melbourne.

Reporting to the Lead Data Scientist, this role is responsible for building and maintaining data science-based products that support Shell Energy’s strategy and objectives, improve operational efficiency and drive business growth. You’ll be instrumental in delivering analytics-driven solutions, developing predictive models and supporting data science products that enhance decision-making across the business.

With respect, integrity and honesty, responsibilities include:

• 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.

Here’s what you’ll need to thrive in this role:

• 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.

• Experience applying statistical analysis, predictive modelling and machine learning techniques to solve complex business problems.

• Knowledge of forecasting, optimisation and behavioural analytics methodologies, ideally within energy, utilities or related industries.

• Experience working within DevOps environments and supporting products through ongoing maintenance and continuous improvement activities.

• Strong analytical, problem-solving and critical thinking skills, with the ability to translate complex data into actionable business insights.

• Excellent stakeholder engagement, communication and influencing skills, with the ability to work effectively across technical and business teams.

• A commitment to continuous learning, innovation and delivery of high-quality outcomes in a fast-paced environment.

• Experience in the energy industry, including electricity markets, customer analytics or energy optimisation, would be advantageous.