Internship: Dept. of Health and Aged Care - Statistical modelling to predict fraud and non-compliance in health data

30 Sep 2024

This position is offered through the ANU Computing Internship ([COMP4820] / [COMP8830])

Company

Department of Health and Aged Care

The Department of Health and Aged Care develops and delivers policies and programs and advises the Australian Government on health, aged care and sport. We work with a wide range of stakeholders to ensure better health for all Australians.

Project

Statistical modelling to predict fraud and non-compliance in health data

Develop statistical models to seek to identify potential indicators and predictors of future fraud or non-compliance in health data. Create reports/dashboards to present insights to stakeholders.

Benefits

Skills the intern will gain: Predictive modelling, applied statistics, project management, communication and presentation skills, stakeholder engagement.

Required/Preferred technical skills

Statistical inference, forecasting, R or Python programming, data visualisation

Special Requirements

• Intern requires Australian citizenship

The intern will be required to obtain Baseline security clearance, sponsored by the organisation.

Delivery Mode

In-person/Hybrid.

Type of internship

Paid internship. The intern/s will be engaged as a casual employee.

How to apply

Applications are invited from students who have already passed the eligibility checks for the Computing Internship courses COMP4820 or COMP8830. Further information about the Computing Internships can be found on the Computing Internship page.

You can nominate multiple preferred Internship projects and host organisations through the one application form.

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