Data Scientist

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

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.

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.

Requirements

• 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.

Why join our team

Here are the top reasons why our people choose us

• Purpose that is making a positive impact for our customers' energy future. It's not just about selling energy; it's about delivering outcomes for our customers that empower them to stay ahead in a changing market.
• Work that is interesting, innovative and high impact. We hope you'll love the challenge and opportunity to achieve - for our customers and for you.
• People who bring the expertise and drive to succeed. Our team is respectful, inclusive, and supports connection and collaboration.

Shell Energy is an Equal Opportunity Employer that values the diversity of its people. We do not discriminate on the basis of gender, race, religion, colour, national origin, sexual orientation, age, marital status, veteran status or disability.