Data Scientist | Machine Learning & Predictive Analytics
6 month Contract opportunity
Apply data science to meaningful business challenges
An exciting opportunity is available for an experienced Data Scientist to contribute to a major Data & Analytics uplift program within a large Queensland organisation.
Working across complex structured datasets and unstructured documentation, you will develop machine learning models, advanced analytics and decision-support capabilities that translate data into measurable business outcomes.
This is an opportunity to apply your technical expertise to practical challenges, with a focus on predictive modelling, risk identification and the development of reliable, production-ready AI/ML solutions.
The opportunity
You will work with data professionals, subject matter experts and business stakeholders to develop analytical solutions that improve decision-making, identify emerging patterns and support more effective operational outcomes.
Developing and evaluating predictive models using classification, regression, time-series analysis and other statistical techniques.
Applying machine learning to large, complex datasets to identify trends, anomalies and opportunities for intervention.
Using Python, SQL and Azure Databricks to develop analytical and ML solutions.




Supporting the deployment of AI/ML solutions through CI/CD processes.
Monitoring and optimising production solutions for performance, cost, latency and reliability.
Exploring NLP and text analytics techniques to extract insights from unstructured documentation.
Translating analytical findings into actionable insights for business stakeholders.
About you
You will bring:
Demonstrated experience applying machine learning to complex datasets and delivering measurable business outcomes.
Robust statistical and predictive modelling capabilities.
Practical experience with Python, SQL and Azure Databricks.
Experience deploying AI/ML solutions through CI/CD processes.
An understanding of production model monitoring, performance optimisation and reliability.
Experience with NLP, text classification, topic modelling or large-scale document analytics will be highly regarded.
Experience in insurance, government or another regulated environment is also advantageous.
A degree in Data Science, Statistics, Mathematics or a related discipline is desirable.
If you are a hands-on Data Scientist who enjoys solving complex problems and delivering practical machine learning solutions, we would welcome a conversation.
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📌 Data Scientist (Brisbane)
🏢 Sharp & Carter
📍 Brisbane