What are you going to do

The key mission of this role will be to develop and deliver AI solutions & systems that transform the capability and coordination of one of the largest vertically integrated mine, rail and port operations in the world. The right candidate will bring a strong curiosity and technical perspective to these challenges, including experience in data science and AI algorithm & system design, along with a drive for delivering outcomes and working software in cross-functional teams.



Key responsibilities include:

• Design, development and implementation of AI systems to drive productivity in our integrated operations across mine, rail and port
• Helping identify, quantify and validate efficiency and productivity opportunities for AI systems using data from a wide range of sources
• Engaging and collaborating with internal and external stakeholders to shape AI system requirements
• Maintaining the backlogs for AI solution & system development, and collaborating with cross-functional teams to prioritise their development
• Staying up to date with developments in AI & ML, and incorporating new techniques and technologies into our AI system design

Essential skills and knowledge

• An advanced degree in computer science, mathematics, statistics, machine learning or engineering
• Experience (4+ years) in data science and AI solution & system development with mining and heavy industrial operations applications preferred
• Strong understanding and practical experience in statistics and machine learning, including causal inference and experimental design
• Strong knowledge of data science tools and technologies, including programming languages such as Python
• Experience in NLP and LLMs is well regarded
• Exceptional analytical and problem-solving skills
• Strong written and verbal communication skills, with the ability to communicate complex technical concepts within a multi-disciplinary product team
• Strong written and verbal communication skills, with the ability to communicate technical concepts within a multi-disciplinary product teams
• Experience in SQL and platforms such as Snowflake is well regarded

Benefits:

• Salary sacrifcing
• Employee Assistance Program (EAP)
• Corporate discounts