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Data ScientistHybrid

LocationClayton VIC 3168, Australia
Work TypeFull time
Positions1 Position
Published At:12 hours ago
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Job no: YHTCK
Category: Digital and Information Technology

About Us:  

DuluxGroup is a leading marketer and manufacturer of premium brands that help people create better spaces to live and work. With a heritage of over 100 years, we’re home to trusted names like Dulux, Selleys, Yates, Cabot’s, and B&D, delivering products across paints, coatings, adhesives, garden care, and home improvement. As part of Nippon Paint Holdings, we combine global scale with strong local roots, driven by innovation, sustainability, and a commitment to our customers.  

Our Group Functions cover Supply Chain, Sales Capability, Finance, People & Culture, IT & Digital, and Legal are an integral part of our Business Units that enable growth and operational excellence. They provide the insights, technology, and expertise that keep our businesses agile and future ready. Joining DuluxGroup means contributing to iconic brands, working in a collaborative culture, and enjoying opportunities for career growth and flexibility. 

What You’ll Be Doing:   

As a Data Scientist, you will transform business challenges into practical, data-driven solutions that improve decision-making and deliver measurable value. Working within a people-centric, growth-minded environment, you will partner closely with business stakeholders to develop, deploy, monitor and continuously improve statistical and machine learning models.

This role offers the opportunity to take ownership of the end-to-end data science lifecycle, applying sound technical judgement, reproducible practices and commercial thinking to solve meaningful problems while empowering teams to make better decisions and drive business outcomes.

Our Benefits:  

  • Up to $1,000 net annually to cover private health extras gap costs  
  • Exclusive discounts on DuluxGroup products and partner offers  
  • Stay active anytime, anywhere through our partnership with Fitness Passport  
  • 20 weeks paid parental leave (primary carers) and 2 weeks partner leave from day one  
  • Market leading learning, development and career pathways  
  • Access to our Wellbeing Hub and full EAP support 

What We’re Looking for:   

  • Demonstrated experience developing, deploying, and maintaining machine learning or statistical models in production environments.
  • Strong expertise in statistics, predictive modelling, and data preparation, with a disciplined approach to model validation and a focus on delivering tangible business value.
  • Proven ability to write high-quality, scalable, and reproducible code, with a strong emphasis on version control, accuracy, and long-term maintainability.
  • Skilled at translating complex technical concepts into meaningful business insights, clearly communicating outcomes, trade-offs, and areas of uncertainty to diverse stakeholders.
  • A self-motivated and commercially minded professional who brings a collaborative approach, takes ownership of results, and thrives in a culture of continuous learning, innovation, and improvement.
  • Experience with at least one modern data and cloud platforms (e.g., Databricks, Snowflake, AWS, Azure, Google Cloud), as well as AI code-assist tools (e.g., Claude Code, Codex), and exposure to MLOps practices including model monitoring, retraining and lifecycle management.

Why Join Us?  

Progressing your career with the DuluxGroup means being part of a network of over 8000 employees globally who believe in our purpose to ‘Imagine a Better Place’  

With origins dating back to 1918, we are a leading marketer and manufacturer of iconic brands such as Dulux, Selleys, Cabots, Yates and B&D to name a few.   

By joining us, you will be a part of a long-term strategy to deliver profitable growth through brand leadership, innovation and customer intimacy. We are committed to internal mobility and growth while fostering an inclusive culture with flexible work options.  

If this sounds like an environment you would like to be a part of, please apply online!  

  • Published on 31 Jul 2026, 4:13 AM