Data Scientist, Mining Tech: AI & Applications

Task Recruitment; City of Brisbane; On-site; AUD 110,000 - 170,000; Full time

Job summary

Task Recruitment in Brisbane CBD is seeking an experienced Data Scientist to move beyond dashboards and build data‑driven applications within a global mining technology organisation. You will apply data science, SQL, analytics and ML to develop data pipelines, predictive models and commercial technical applications, using LLMs and tools such as Semantic Kernel.

A minimum of 5 years of commercial experience is required.

Qualifications

• Minimum 5 years’ relevant commercial experience in data science, data engineering, software/application development or related field.
• Strong expertise in Microsoft SQL Server, incl. ETL development, CDC and Change Tracking.
• Experience with large, complex datasets and developing commercial applications.
• Knowledge of programming languages such as SQL, Python, R or Java.
• Experience designing data pipelines and data architecture; data modelling and analytics techniques.
• Hands-on with data-driven analytics solutions and machine learning methods.

Responsibilities

• Analyse and organise large volumes of raw and complex data.
• Build and maintain data systems and pipelines.
• Translate business requirements into reporting, analysis and technical specs.
• Develop data-driven algorithms, prototypes and analytical tools.
• Design high-quality data architecture and data solutions.
• Collaborate with stakeholders across software, engineering and business domains.
• Maintain documentation of technical processes and procedures.

Skills

Data Science

SQL

Python

Machine Learning

Data Engineering

Big Data

Data Modelling

Analytical Thinking

Communication

Education

Bachelor's degree in Computer Science or related

Postgraduate qualifications (advantageous)

Tools

Semantic Kernel

Microsoft SQL Server

SSRS

Power BI

LLMs / AI tools

Job description

Task Recruitment in Brisbane CBD is seeking an experienced Data Scientist to move beyond dashboards and build data‑driven applications within a global mining technology organisation. You will apply data science, SQL, analytics and ML to develop data pipelines, predictive models and commercial technical applications, using LLMs and tools such as Semantic Kernel.

A minimum of 5 years of commercial experience is required.