Join our team as a Senior Data Scientist and lead the design and delivery of scalable data solutions that power advanced analytics and AI across the organisation. In this role, you'll work closely with stakeholders to build trusted, high-quality data pipelines, integrate AI/ML capabilities, and develop innovative solutions that drive business outcomes and meet regulatory requirements. If you're passionate about leveraging data and AI to create real impact, we'd love to hear from you
Key Outcomes and Accountabilities
The aim of this role is to:
* Implement cloud-based data science solutions that support large-scale data processing and Machine Learning (ML) workflows.
* Enable integration of Artificial Intelligence (AI) and ML models into production systems, ensuring scalability, governance, and performance monitoring.
* Collaborate with data analysts, data governance, and business units to deliver data products that support predictive analytics, natural language processing, and other AI-driven use cases.
* Establish and maintain robust data governance, metadata management, and model monitoring frameworks to ensure data integrity, compliance, and responsible AI practices.
* Provide technical advice and thought leadership on emerging technologies in data science and AI, identifying opportunities for innovation and efficiency improvements.
* Support the continuous improvement of data engineering standards, including automation, CI/CD pipelines, and reusable components for AI/ML deployment.
* Support and maintain data pipelines and ETL processes that ensure reliable, timely and secure access to data for reporting, analytics, and ML workflows.
Candidate Attributes
1. Demonstrated experience in building scalable data solutions using Python and SQL.
2. Proficiency in cloud data platforms (e.g., Snowflake, or similar) and data warehousing concepts.
3. Strong understanding of machine learning lifecycle management (data preparation, feature engineering, model deployment, monitoring).
4. Strong understanding of Generative (Gen) AI, Agentic Systems, and AI Agents and be able to implement and develop scalable systems from proof of concept to production.
5. Ability to translate complex business requirements into robust technical solutions that support AI and analytics outcomes.
6. Knowledge of MLOps and CI/CD practices for deploying and maintaining AI/ML models at scale.
Why Join QBCC?
* Generous 12.75% superannuation contribution with the option to salary sacrifice
* Access to leave entitlements (with 17.5% leave loading) and accrual of flex time
* Opportunities for career development, training and mentoring
* A friendly, collaborative and supportive workplace culture
* Fitness Passport
How to applyTo apply for this exciting opportunity, please submit your resume and a written statement (maximum 2 pages) on how you have demonstrated the capabilities outlined in the Candidate Attributes section of the position description.