Data Scientist

Job type : Permanent

Emp type : Contract

Location : Melbourne

Job published : 24-10-2025

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 us