Data Scientist

• Develop statistical and machine learning models on large administrative data sets
• Build anomaly detection, risk scoring and predictive models
• Prepare, clean and engineer features from linked data sources
• Validate, test and monitor model performance and bias
• Present findings to program, policy and compliance teams in plain language
• Build reusable analysis code and notebooks under version control
• Work with data engineers on data pipelines and model deployment
• Document methods, assumptions and model limitations
• Apply privacy, ethics and data governance requirements to analysis work

• Minimum five years in data science or advanced analytics roles
• Python or R for statistical modelling and machine learning
• SQL and working with large relational data sets
• Supervised and unsupervised modelling, including anomaly detection
• Model validation and performance monitoring
• Presenting analysis to non-technical stakeholders
• Working with sensitive or personal information

Desirable Experience

• Health, claims, payments or welfare data
• Fraud, compliance or integrity analytics
• Cloud analytics platforms such as Azure Machine Learning, Databricks or SAS Viya
• Data linkage and de-identified data sets
• Tertiary qualification in statistics, mathematics, data science or a related field

Security Clearance Requirements

• Must be an Australian Citizen
• Must hold a current AGSVA Baseline Security Clearance (minimum)

Working Arrangements

• Hybrid
• Canberra preferred

Profectus partners with Australian Government agencies to deliver trusted ICT capability across complex delivery programs. We take a long term, relationship driven approach, supporting our people across the full lifecycle of their engagement while contributing to outcomes of national importance.