Data Scientist

Sharp and Carter; Brisbane; Presencial; AUD 90.000 - 130.000; Jornada completa

Descripción de la vacante

Sharp and Carter is seeking an experienced Data Scientist to contribute to a major Data & Analytics uplift program in Queensland. You will work across complex datasets to develop ML models, predictive analytics and decision-support capabilities aimed at measurable business outcomes.

The role focuses on predictive modelling, risk identification, and building reliable AI/ML solutions, with collaboration across data professionals, SMEs and stakeholders to improve decision making and operational

Formación

• Demonstrated experience applying ML to complex datasets and delivering measurable outcomes.
• Strong statistical and predictive modelling capabilities.
• Hands-on experience with Python, SQL and Azure Databricks; deployment of AI/ML solutions via CI/CD.

Responsabilidades

• Develop predictive models using classification and regression techniques.
• Apply ML to large, complex datasets to identify trends and opportunities.
• Develop analytical solutions using Python/SQL on Azure Databricks.
• Contribute to deployment of AI/ML solutions through CI/CD processes.
• Monitor and optimize production ML solutions for performance and cost.
• Explore NLP and text analytics to extract insights from unstructured data.
• Translate findings into actionable insights for business stakeholders.

Conocimientos

Python

SQL

Machine learning

NLP

Educación

Data Science/Statistics/Mathematics related degree

Herramientas

Azure Databricks

CI/CD pipelines

Descripción del empleo

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.
• Strong 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.