So many job ads talk about "accountability"—but here, it's all about opportunity.

As the project architect, creator, and strategist, you’ll lead engagements end-to-end. You’ll be trusted to run delivery while tapping into internal and external support as needed. It’s a high-trust culture that rewards autonomy and craftsmanship.

Most projects are Sydney-based, with some travel to Melbourne and Singapore. Work spans across advanced financial services, medical technology, and scaling tech platforms.

This is not a notebook-hacking role. We’re looking for someone who builds clean, reproducible, and well-organised production-grade code—combining the rigour of engineering with the insight of data science.

Ideal Candidate:

• Data ingestion and cleansing
  
  
• Feature engineering
  
  
• Testing frameworks and reproducibility
  
  

• 3–5 years' experience as a Data Scientist with a Data Engineering edge
  
  
• Proficient in Python (R, SAS, etc. are not core to this environment)
  
  
• Practical experience with classical ML libraries: XGBoost, NLTK, Scikit-learn, etc.
  
  
• Solid background in data engineering workflows:
  
  
• A disciplined approach to coding—clean architecture, version control, and documentation are second nature
  
  

This strategic consultancy offers a flexible, adult working environment where delivery quality matters more than hours logged. Most projects are open source and cloud-native, with a strong commercial edge.

Why join?

• High-performance bonus program with proven track record
  
  
• Strong APAC presence and high-impact projects
  
  
• Health, insurance, and lifestyle benefits
  
  
• Flexibility in working style and location
  
  

Sound like you? Contact Ronny at [email protected] or 0448 808 848 for a confidential discussion.