Senior Data Scientist

Drive advanced ML solutions in a leading organisation, leveraging Azure ML to deliver commercial outcomes across the business.

• Full-time, day-rate contract | Melbourne-based
• Exciting opportunity to drive ML delivery across commercial functions
• Hands-on Azure ML, MLOps & stakeholder collaboration

We are excited to partner with a well-known organisation and recognised leader in their industry to source an experienced Senior Data Scientist, based locally in Melbourne. This is a fantastic opportunity to join a high-impact data team and play a key role in rolling out advanced Machine Learning initiatives across a complex, fast-paced commercial environment.

The Opportunity

Our client is a leader in their industry and is investing heavily in data science and AI to drive smarter, faster decision-making across the organisation. As part of this investment, they’re looking for a highly skilled Senior Data Scientist to build and deploy scalable ML solutions using Azure ML and MLOps frameworks.

You’ll work closely with business stakeholders and technical teams to identify high-value use cases, develop and iterate on ML prototypes, and deliver production-ready models that create measurable business outcomes.

The Role

• Design, develop, and deploy end-to-end ML models using Azure ML, Pipelines, and Data Factory
• Build quick proof-of-concepts to demonstrate feasibility and refine solutions for production
• Collaborate with stakeholders across commercial and technical teams to identify and prioritise business problems that can be solved with ML
• Own the entire ML lifecycle from data preprocessing and feature engineering through to deployment, monitoring, and retraining
• Implement scalable MLOps strategies including CI/CD, performance tracking, drift detection, and automated retraining
• Work cross-functionally with data engineers and software developers to embed models into production systems
• Champion ML best practices and reusable workflows across the broader team

The Skills Required

• 5+ years of hands-on experience in data science and ML model development
• Expertise in Azure ML and MLOps, with strong capability in feature engineering, model evaluation, and deployment
• Proven experience developing and iterating on ML prototypes to quickly validate business value
• Strong understanding of CI/CD pipelines for ML and real-world deployment strategies
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders
• Previous experience in FMCG or supply chain industries are highly desirable
• Familiarity with recommendation systems, time-series forecasting or geospatial analytics is a bonus
• A collaborative mindset with the ability to thrive in a fast-paced, iterative environment

If you’re ready to apply your ML expertise in a commercially impactful way and help lead the machine learning rollout across a major industry leader, APPLY NOW!

For further information, please contact Fabian at our Melbourne office via [email protected]