Job Description
Direct message the job poster from CloudApps Consulting
Recruitment Consultant - CloudApps Consulting
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
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
Fabian@cloudappsconsulting.com.au
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Contract
Job function
Job function Analyst, Science, and Consulting
Industries Transportation, Logistics, Supply Chain and Storage, IT System Data Services, and Data Infrastructure and Analytics
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