Energy Data Scientist - Predictive Analytics & ML Solutions

shellenergy; City of Melbourne; On-site; AUD 110,000 - 150,000; Full time

Job summary

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

You will collaborate with data engineers, analysts and stakeholders to deliver scalable solutions and ensure model performance remains robust in a fast-paced energy environment.

Qualifications

• Proven experience delivering data science solutions in a commercial environment.
• End-to-end model development lifecycle proficiency.
• Forecasting, optimisation and analytics techniques applied to real problems.
• Strong analytical, problem solving and stakeholder collaboration.

Responsibilities

• Develop, deploy and maintain data science products aligned with Shell Energy strategy.
• Design and implement advanced analytics and ML models for business problems.
• Collaborate with stakeholders to translate requirements into data-driven solutions.
• Apply DevOps practices to support ongoing operation and maintenance of data products.
• Troubleshoot issues and ensure reliable service delivery.
• Work with data engineers and analysts to deliver scalable analytics solutions.
• Monitor model performance and drive continuous improvement.
• Contribute to best practices and governance for data science across the organisation.
• Communicate insights to technical and non-technical audiences to inform decisions.

Skills

Machine learning

Python

Statistics

DevOps

Stakeholder communication

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related discipline

Tools

SQL

R

Spark

TensorFlow

Job description

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

You will collaborate with data engineers, analysts and stakeholders to deliver scalable solutions and ensure model performance remains robust in a fast-paced energy environment.