BRUNEL Hiring AI & Data Science Specialist in Australia🇦🇺 Salary AU$ 98000/year Apply Online

Company:	BRUNEL
Job Role:	AI & Data Science Specialist.
Experience:	(1-2 years).
Vacancy:	10+
Qualification:	Bachelor's degree in Computer Science or related skills.
Salary:	AU$ 98000/year.
Location:	Perth - Australia.
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Apply Mode:	(Online)
Deadline:	Not Mentioned

About the Company:

Introduction

Brunel has partnered with an Resources industry leader to offer an exciting contract opportunity for an AI & Data Science Specialist.

About this role

Opportunity to join a data and AI team delivering machine learning and advanced analytics solutions across a large mining environment. This role focuses on building production-ready AI solutions and translating complex data into practical business insights.

Focus:

• Develop, deploy and support AI, machine learning and advanced analytics solutions
• Ensure solutions are sustainable, supportable and well documented
• Use best-practice source control, modelling and MLOps approaches (e.g. Git, MLflow)
• Monitor and improve Azure-based analytics platforms
• Work iteratively with business stakeholders to validate and communicate insights
• Present complex analytical outcomes in clear, business-friendly language
• Contribute to growing AI adoption across the business
• Stay current with emerging analytics and AI technologies and recommend improvements

Is this you?

• Extensive experience in a data science-related role
• Experience in the mining industry working with mining datasets (fleet management, historians, SAP, delay accounting)
• Bachelor's degree in Data Science, Computer Science, Mathematics or Statistics
• Strong experience with Python (or similar), statistical modelling and modern machine learning techniques
• Proven experience with Azure-based data and analytics platforms
• Experience with data lakes, SQL, Spark, ML frameworks, and data visualisation tools (e.g. Power BI)
• Experience with enterprise-scale AI and large language models

Desirable but not essential:

• Postgraduate qualification in a quantitative or mining-related field
• Experience with Databricks, MLOps/DevOps pipelines and deep learning frameworks
• Experience with NLP and advanced AI use cases
• Participation in data science competitions or hackathons (e.g. Unearthed, Kaggle)
• Strong stakeholder engagement and storytelling capability

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