Data Scientist

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.

• ...