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. 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: 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: Data ingestion and cleansing Feature engineering Testing frameworks and reproducibility 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 ronny@theonset.com.au or 0448 808 848 for a confidential discussion.
