Data Scientist MLOps and Applied Ops

The opportunity 

As a Manager within our AI & Data service line, you will lead the design, delivery and operationalisation of modern data and machine learning platforms that enable scalable, secure and production-grade analytics capabilities.

You will take ownership of client engagements, guiding teams to establish robust DataOps and MLOps frameworks, while shaping solution architecture and driving delivery outcomes. This role sits at the intersection of data engineering, platform operations and ML enablement, with a strong focus on reliability, automation and business impact.

In line with client requirements this role is based in our Boorloo – Perth, Australia office. 

Our roles can potentially be adjusted to work flexibly with reduced hours. Please speak with us about potential options.

Your key responsibilities 

• Lead end-to-end delivery of DataOps and MLOps solutions across complex client environments.


• Own client relationships and translate business requirements into scalable, outcome-driven solutions.


• Design and govern data and ML platform architectures, including ingestion, orchestration and optimisation.


• Drive platform operationalisation across CI/CD, automation, environment management and release processes.


• Oversee ML lifecycle management, including deployment, monitoring, retraining and governance.


• Establish data quality, lineage and observability frameworks to ensure platform trust and reliability.


• Lead, mentor and quality assure delivery teams while contributing to business development and internal capability.

Skills and attributes for success  

We are looking for candidates with a strong background in data platform engineering, DataOps or MLOps, with experience delivering production grade data and ML capabilities in a cloud or consulting environment.

Ideally, you’ll also have the skills and attributes below, but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn. 

• Strong experience delivering DataOps, MLOps or data platform solutions in consulting or enterprise environments.


• Proven ability to lead teams and manage delivery outcomes across complex data or AI programmes.


• Deep understanding of data platform architecture, pipeline automation, testing and monitoring practices.


• Hands-on experience with SQL, Python and modern data transformation tooling.


• Exposure to ML lifecycle tooling, deployment patterns and operational considerations.


• Strong stakeholder engagement skills, with the ability to influence senior business and technical audiences.


• Experience contributing to solution design, proposals or pre-sales activities.

What we offer you 

At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We’re proud to be recognised as the #1 WORK180 Endorsed Employer in the Top 101 Employers for Women 2026. Learn more. 

• Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences ey.com/au/careerdevelopment 

• Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.  

• A comprehensive benefits package: From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including up to 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally www.ey.com/au/benefits      

Acknowledgement of Country 

EY acknowledges the Traditional Owners and Custodians of the lands on which EY offices are located around Australia. We pay our respects to their cultures, and to their Elders — past, present, and emerging. Find out more about our vision for reconciliation at ey.com/en_au/careers/indigenous

Inclusiveness is core to who we are and how we work together, driving value for our people and for our business. We encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities and are committed to providing an equitable and barrier free recruitment experience for all. We encourage you to share any support and adjustments you need to be your best and participate equitably in our recruitment process. We understand sharing your needs with us can be daunting, so if you have questions before or during your application, we welcome you to get in touch at [email protected] or +61 3 8650 7788 (option 2). Anything you tell us will be kept completely confidential.

Are you ready to shape your future with confidence? Apply today.

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EY | Building a better working world 

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.