AI/ML Data Scientist at Yarra Valley Water

, , Australia -

Full Time

Start Date

Immediate

Expiry Date

19 Apr, 26

Salary

157993.0

Posted On

19 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Methodologies, Data Science, Analytical Skills, Critical Thinking, Problem Solving, Collaboration, Communication, Mentoring, Data Quality, Governance, MLOps, Azure Databricks, Microsoft Fabric, Azure ML, Power BI

Industry

Utilities

Description

Position overview Permanent, Full-time opportunity Organisation with an award-winning culture that values diversity and inclusion $157,993 TRP (inclusive 12% superannuation) The Role The AI/ML Data Scientist role presents an exciting opportunity to lead the development and deployment of advanced analytics and machine-learning solutions across our asset technology domain. Playing a pivotal role in tackling complex operational and strategic challenges you will identify high-value use cases, build production-ready models, and deliver automation and intelligent decision-support tools that enhance asset performance, reduce risk, and support long-term planning. Working across business and functional boundaries, this role is central to lifting AI/ML capability and delivering scalable, high-impact analytics solutions. About us We’re on a mission to create a brighter future, where you can be a change maker at the actual source. We’re one of Australia’s largest water utilities with over 30% of Victoria’s population relying on us for their essential water and sanitation services. Our award-winning culture fosters an inclusive, collaborative, and flexible environment that enables our people to thrive. Here, you’ll be inspired and challenged to grow alongside us. We're committed to reconciliation and supporting the self-determined role for Traditional Owners/Custodians in water and land management. Your key responsibilities Lead end-to-end AI/ML solution development by identifying high-impact use cases, translating asset and engineering challenges into data science problems, and building production-grade predictive and decision-support models. Operationalise AI/ML within asset systems by collaborating with engineers, planners, IT/OT, and platform teams to deploy models into production environments, digital tools, and enterprise data platforms using modern MLOps practices. Develop scalable data and model pipelines leveraging Azure Databricks, Microsoft Fabric, Azure ML, Power BI and related technologies, while ensuring performance, security, governance, and lifecycle management. Drive AI/ML and GenAI data product development, leading prototypes through testing, iteration, deployment, monitoring, and retraining, and identifying opportunities to scale solutions across the wider business. Strengthen asset data quality and responsible AI governance by improving data inputs, ensuring high-quality data capture from key systems, and embedding ethical and compliant AI practices. Provide technical leadership and foster innovation by mentoring peers, uplifting AI literacy, scanning emerging technologies, and supporting R&D initiatives that advance AI/ML capability in the utilities and asset management domain. What we’re looking for Tertiary qualification in Data Science, Engineering, Computer Science or equivalent Advanced knowledge and experience in applying AI/ML methodologies Strong analytical, critical-thinking and problem-solving skills Detail-oriented, results-focused and able to maintain high standards Collaborative, people-focused and skilled at building positive working relationships Effective communicator with the ability to influence and support change Positive, constructive team player who contributes to a supportive culture To view the full position description, click HERE. Why Yarra Valley Water? We celebrate and encourage new thinking at every level. Creating opportunities for you to grow – both professionally, and personally. When you flourish, we all do. $157,993 Total Remuneration Package (inclusive of 12% superannuation) Flexible working arrangements where our people are empowered to design their days with their team. Read our hybrid playbook HERE. Free and secure on-site parking with on-site café at our Mitcham office. 14 weeks paid leave parental leave. 15 days paid personal leave, which can be used for caring, wellbeing, mental health, menstrual or menopause. Request to swap certain public holidays for another day of paid leave. To read more about our benefits and culture, read our employee handbook HERE. Did you know? Research shows that men apply to jobs when they meet an average of 60% of the criteria, while women and other marginalised people tend to only apply when they meet all of them. So, if you think you have what it takes, but don't necessarily tick every box, please apply or get in touch. We'd love to have a chat and see if you could be a great fit. How to apply Applications should include a supporting Cover Letter and Resume. Closing date: Tuesday 3rd February 2026 This position is available for Yarra Valley Water employees and external applicants. We welcome applications from everyone, including Aboriginal and/or Torres Strait Islander peoples, people with disability, mature age and young job seekers, members of the LGBTIQA+ community and people of all cultural backgrounds. If you need this information in an accessible format or would like to discuss reasonable adjustments during the recruitment process. Please call 03 9872 2542 or email dei@yvw.com.au. If you need any help with the application process or would like to discuss the recruitment process, please contact us via email recruit@yvw.com.au. Successful applicants must be eligible to work in Australia and agree to provide information for pre-employment checks, if required for the position. This may also include a Police Check or AusCheck, where an offer will be subject to a satisfactory outcome of these checks.

Responsibilities

Lead the development and deployment of AI/ML solutions to enhance asset performance and reduce risk. Collaborate with various teams to operationalize AI/ML within asset systems and drive data product development.