About us We are an cutting-edge SaaS provider dedicated to powering Testing, Inspection, and Certification (TIC) operations.
We work to streamline regulated industries by delivering operational control, built-in compliance, and management intelligence.
For over a decade, our platform has been accelerating the digital transformation of laboratories, offering a single platform for every process with complete record traceability.
We are an affordable, auditor-designed solution, and our team is known for creativity and technical excellence in compliance software.
We are seeking a Data Scientist to join our team.
Your data insights will be pivotal to optimising operational workflows and advancing our platform's management intelligence capabilities.
Responsibilities Prepare and clean large-scale operational datasets from testing, inspection, and certification (TIC) systems, and identify and resolve data anomalies to ensure data integrity and accuracy.
Apply mathematical, statistical, programming, and database techniques to analyse complex laboratory, calibration, and compliance data across multiple regulated industries.
Design, develop, and implement advanced algorithms and data models that transform raw operational data into actionable insights for strategic planning and decision-making.
Build, train, evaluate, and deploy machine learning and artificial intelligence frameworks to extract trends, patterns,



and predictions from test, calibration, and quality records.
Evaluate and adjust models to improve accuracy and performance, interpret results, and present data-driven findings to key stakeholders and decision-makers.
Collaborate with cross-functional teams to translate data insights into scalable software features and enhanced management intelligence tooling.
Ensure data science practices comply with industry standards and regulatory requirements, such as ISO/IEC *****, NATA, and NABL, and support audit-ready record traceability.
Provide strategic input and drive innovation for our data science initiatives, keeping our platform at the forefront of TIC technology and supporting laboratory digital transformation.
Qualification and Skills Bachelor's degree in Computer Science, Data Science, Engineering or a related discipline Minimum 3 years of hands-on professional experience as a Data Scientist Advanced practical expertise in statistics, machine learning and rare-event evaluation, paired with strong Python and SQL capabilities Demonstrated track record of independently delivering complex analytical solutions and deploying them into live operational environments Proficiency in data visualisation tools and techniques to communicate complex analytical outputs to both technical and non-technical stakeholders

📌 Data Scientist (Melbourne)
🏢 Careerone Partner Network
📍 Melbourne