Senior Data Scientist

CloudApps Consulting; Melbourne; On-site; AUD 120,000 - 144,000; Full time

Job summary

Join a leading organization as a Senior Data Scientist, where you will drive advanced machine learning solutions using Azure ML. This exciting role involves collaborating with business stakeholders to develop scalable ML models that deliver significant commercial outcomes. You will own the entire ML lifecycle, from data preprocessing to deployment, while implementing best practices in MLOps. This is a fantastic opportunity to make a real impact in a fast-paced environment, leveraging your expertise to enhance decision-making processes across the organization. If you're ready to elevate your career in data science, apply now!

Qualifications

• 5+ years of experience in data science and ML model development.
• Expertise in Azure ML and MLOps for scalable ML solutions.

Responsibilities

• Design and deploy end-to-end ML models using Azure ML.
• Collaborate with teams to identify and prioritize ML use cases.

Skills

Machine Learning

Azure ML

MLOps

Feature Engineering

CI/CD Pipelines

Data Science

Communication Skills

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 [e-mail]

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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