Job Description
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.
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:
* 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 global brand and high-impact projects
* Flexibility in working style and location
Sound like you? Contact Ronny at or for a confidential discussion.