Data Scientist

Troocoo Pty; Brisbane; On-site; AUD 120,000 - 160,000; Full time

Job summary

Troocoo Pty partners with a Queensland Government department to recruit an experienced Data Scientist for an uplift program focused on improving claims management through advanced analytics and AI.

You will work with complex claims data, build models, and deliver NLP and AI/ML solutions in production, spanning predictive modelling, NLP, and claims forecasting with CI/CD support.

Qualifications

• Demonstrated experience applying machine learning to large, complex datasets to solve business problems.
• Strong statistical analysis and predictive modelling skills.
• Experience with Python, SQL and Azure Databricks; CI/CD for AI/ML deployments.

Responsibilities

• Develop and implement machine learning models to support claims management and decision-making.
• Apply statistical and predictive modelling techniques, including classification, regression, time-series analysis, clustering and anomaly detection.
• Analyse large, complex datasets to identify trends, emerging risks and opportunities for improved claims outcomes.
• Use Python, SQL and Azure Databricks to develop and deliver analytical solutions.
• Apply NLP and text analytics techniques to unstructured claims documentation.
• Evaluate, validate and monitor models to ensure reliability and performance in production.
• Work with business stakeholders and data professionals to translate business problems into practical analytical solutions.
• Support the delivery and ongoing optimisation of AI/ML solutions using CI/CD processes.

Skills

Machine learning

Statistical analysis

Predictive modelling

NLP / Text analytics

Data analysis

Problem solving

Education

Degree in Data Science / Statistics / Mathematics or related field

Tools

Python

SQL

Azure Databricks

Job description

I am proud to partner with this Queensland Government department to help them recruit an experienced Data Scientist to support a major Data & Analytics uplift program focused on improving claims management through advanced analytics and artificial intelligence.

Working with complex claims data and unstructured documentation, you'll develop machine learning models and analytical solutions to identify patterns, predict claim outcomes, detect emerging risks and support more consistent, evidence-based decisions.

This is an opportunity to apply your data science skills to practical business problems, with work spanning predictive modelling, claims forecasting, natural language processing and AI/ML solutions in production.

Key Responsibilities

• Develop and implement machine learning models to support claims management and decision-making.


• Apply statistical and predictive modelling techniques, including classification, regression, time-series analysis, clustering and anomaly detection.


• Analyse large, complex datasets to identify trends, emerging risks and opportunities for improved claims outcomes.


• Use Python, SQL and Azure Databricks to develop and deliver analytical solutions.


• Apply NLP and text analytics techniques to unstructured claims documentation.


• Evaluate, validate and monitor models to ensure reliability and performance in production.


• Work with business stakeholders and data professionals to translate business problems into practical analytical solutions.


• Support the delivery and ongoing optimisation of AI/ML solutions using CI/CD processes.

About You

To be successful in this role, you will have:

• Demonstrated experience applying machine learning to large, complex datasets to solve business problems.


• Strong statistical analysis and predictive modelling skills.


• Experience with classification, regression, time-series analysis, clustering and anomaly detection.


• Practical experience with Python, SQL and Azure Databricks.


• Experience delivering AI/ML solutions using CI/CD processes.


• An understanding of monitoring and optimising production AI/ML solutions, including cost, latency and reliability.


• Strong analytical and problem-solving skills, with the ability to translate findings into meaningful business outcomes.

Experience with NLP, text analytics and unstructured data is highly regarded, as is experience in government, insurance or another regulated environment.

A degree in Data Science, Statistics, Mathematics or a related field is also desirable.