Senior Data Scientist

3 weeks ago


Melbourne, Victoria, Australia CloudApps Consulting Full time

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 levelMid-Senior level
Employment type
  • Employment typeContract
Job function
  • Job functionAnalyst, Science, and Consulting
  • IndustriesTransportation, Logistics, Supply Chain and Storage, IT System Data Services, and Data Infrastructure and Analytics

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