Permanent Position | Brisbane CBD | Data, SQL, AI & Application Development
Are you an experienced Data Scientist who enjoys going beyond dashboards and reporting to build sophisticated, data-driven applications?
Join a global mining technology organisation whose solutions help mining companies design, plan, optimise, simulate and economically manage their operations.
This is a permanent opportunity within a multidisciplinary Technology and Development team, combining data science, advanced SQL, data engineering, analytics, machine learning and application development.
You'll work with large and complex datasets to build data systems, pipelines, analytical tools, algorithms and commercial technical applications.
You'll also have the opportunity to work with large language models (LLMs) and emerging AI technologies, including tools such as Semantic Kernel.
We're looking for someone with at least 5 years' relevant commercial experience who combines strong data science fundamentals with hands‐on technical and application development capability.
What You'll Be Working On
This is a hands‐on technical role where you'll use data to solve complex commercial and engineering problems.
You'll work across the lifecycle of data – from bringing together raw information from multiple sources through to developing data pipelines, analytical solutions, predictive models and applications that turn that information into something genuinely useful.
Your responsibilities will include:
Analysing and organising large volumes of raw and complex data
Building and maintaining data systems and pipelines
Translating business requirements into reporting, analysis and technical specifications
Combining information from multiple data sources
Preparing data for predictive and prescriptive modelling




Developing algorithms, prototypes, analytical tools and programs
Designing high-quality data architecture and data solutions
Exploring ways to improve data quality, reliability and performance
Developing data-driven commercial engineering and technical applications
Working extensively with Microsoft SQL Server
Developing and maintaining ETL processes
Performing SQL query performance tuning
Working with Change Data Capture (CDC) and Change Tracking
Applying data science, statistical and machine learning techniques to complex problems
Working with LLMs and AI technologies, including tools such as Semantic Kernel
Developing and maintaining technical process and procedure documentation
Collaborating with software development, engineering, technical and business stakeholders
Contributing to advanced technical support and Level 3 triage when required
About You
We're looking for someone who has built things with data.
You'll have a strong data science and analytics foundation, but importantly, you'll also have experience developing applications and solutions that use large and complex datasets.
You'll ideally bring:
Minimum 5 years' relevant commercial experience in data science, data engineering, software/application development or a closely related field
Strong expertise in Microsoft SQL Server, including:
ETL development
Query performance tuning




Change Data Capture (CDC)
Change Tracking
Hands‐on experience working with large and complex datasets
Proven experience developing commercial applications
Experience developing engineering, technical or data-intensive applications
Knowledge of programming languages such as SQL, Python, R or Java
Robust SQL database design skills
Experience with data modelling, data mining and segmentation techniques
Experience designing and developing data pipelines and data architecture
Knowledge of machine learning and statistical techniques
Experience designing analytics solutions
Power BI development experience
Experience with SSRS, reporting and data manipulation
Hands‐on experience with large language models (LLMs)
Exposure to AI development tools/frameworks such as Semantic Kernel
Strong analytical and problem‐solving capability
Excellent attention to detail, communication and organisational skills
Highly Regarded
Experience within mining technology, mining software or another engineering-intensive industry would be particularly valuable.
A degree in Computer Science or a related discipline is preferred, with postgraduate qualifications considered advantageous.
Why Join?
This is an opportunity to use data science in an environment where the outcomes have a genuine real-world application.
You'll join an organisation developing technology that helps mining companies design, plan, optimise, simulate and economically manage complex mining operations.
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📌 Data Scientist - Mining Technology (Brisbane)
🏢 Task Recruitment
📍 Brisbane