Product Analytics Data Scientist | AI-Native & Flex/Remote

Quantium; Sydney; Hybrid; AUD 90,000 - 150,000; Full time

Benefits offered by this job

Flexible work arrangements

Continuous learning

Remote working up to 30 days/yr

Job summary

Quantium is hiring a Data Scientist to join a global data science team in Australia. You’ll build on your foundations in Python and SQL while learning to combine them with AI-native tools that shape our agentic analytics workflows.

You’ll collaborate with analysts, engineers and product specialists across geographies, contribute to data lifecycle tasks on cloud platforms, and design scalable approaches that apply to diverse business challenges.

Qualifications

• 1–5 years in data science, AI/ML development or technical consulting.
• Strong Python and SQL for data analysis and manipulation.
• Solid data science fundamentals: prep, modeling, validation.
• Experience with at least one cloud platform (AWS, Azure or GCP).
• Strong communication to explain complex concepts clearly.
• Familiar with AI tools (Claude, ChatGPT, Copilot) and eagerness to learn.

Responsibilities

• Apply data science methodology with feature engineering, model development and testing.
• Build AI-native analytical solutions and agentic workflows.
• Evaluate AI outputs and refine or override when needed.
• Contribute across data lifecycle using cloud platforms (GCP, Azure, AWS).
• Design scalable, reusable analytics approaches for different business challenges.
• Collaborate with analysts, engineers and product specialists across geographies.

Skills

Data science

Python

SQL

Cloud platforms

Version control

Communication

AI tools

ML fundamentals

Tools

Git

GitHub Copilot

Job description

Quantium is hiring a Data Scientist to join a global data science team in Australia. You’ll build on your foundations in Python and SQL while learning to combine them with AI-native tools that shape our agentic analytics workflows.

You’ll collaborate with analysts, engineers and product specialists across geographies, contribute to data lifecycle tasks on cloud platforms, and design scalable approaches that apply to diverse business challenges.