Who is Quantium? Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world.

We’re ALL in on AI — transforming ourselves into an AI‑native organisation while helping our clients do the same. With 23 years of domain expertise, proprietary data partnerships, and industry‑leading AI adoption (90% weekly active usage).

Our Team Operates Across Three Domains

Retail Products — Building and operating Quantium’s global flagship analytics products including Q.Checkout and Q.Scan

AI Client — Embedding with clients to deliver transformational AI programmes, bringing Quantium’s analytics and AI capability directly into partner organisations

AI Enablement — Rethinking how we operate as an analytics function, driving the tools, frameworks, and practices that make AI‑native delivery the default

As an Analyst, you’ll be a collaborative technical contributor working within cross‑functional teams alongside Product Leads, Delivery Managers, and engineers across Australia, India, the UK, and North America. You’ll build your foundations in data science, Python, and SQL while learning to combine them with AI tools that are central to how the team operates. This isn’t a team where AI is a side interest — it’s how we work.

How You’ll Create Impact

Build analytical solutions using AI‑native workflows,



learning to move from straightforward AI assistance through to more sophisticated agentic approaches

Contribute to progressing analytical assets and workflows along the team’s agentic maturity framework, with guidance from senior team members

Develop the skill of critically evaluating AI‑generated outputs — learning when to trust, refine, or override

Use AI tools daily to enhance your analytical workflows and support team productivity

Work with data extraction, cleaning, and quality assessment across datasets using cloud platforms (GCP, BigQuery) and modern data tools

Apply data science methods including feature engineering, model development, and testing with attention to quality

Create specifications for analytics work that engineering teams can implement

Develop approaches that can be scaled and reused across different business challenges

Contribute to product development, day‑to‑day operations, and continuous improvement of team processes and methods

The Superpowers You’ll Be Bringing To The Team

Technical foundation:

Solid Python and SQL skills with an understanding of data science fundamentals — data preparation, modelling approaches, and validation — and a willingness to keep developing your craft.

AI curiosity:

Experience using AI tools (Claude, ChatGPT, GitHub Copilot, or similar) in your work or studies — or genuine enthusiasm and a clear willingness to learn.



You’re open to working in a team where AI‑native methods are the default.

Analytical thinking:

A systematic approach to problem‑solving with the ability to understand business needs and translate them into technical approaches — and to make the complex simple.

Collaborative spirit:

Valuable communication skills for working with diverse teams across different locations and time zones, with the self‑awareness to work independently while knowing when to ask for support.

Required Experience And Capabilities

1–5 years of experience in data science, analytics, or similar technical roles

Solid experience with Python and SQL for data analysis and manipulation

Experience working with Google Cloud Platform (GCP) or similar cloud technologies

Understanding of data science fundamentals: data preparation, modelling approaches, and validation methods

Familiarity with version control and documentation practices

Experience using AI tools (Claude, ChatGPT, GitHub Copilot, or similar) in your work or studies — or genuine enthusiasm and a clear willingness to learn

Strong analytical thinking and a systematic approach to problem‑solving

Good collaboration skills for working with diverse teams across different locations and cultures

Degree in a quantitative field such as engineering, mathematics, statistics, computer science, physics, or a related discipline — or equivalent demonstrated capability.

Highly Beneficial

Experience building or experimenting with AI‑assisted workflows or prompt engineering

What Could Your Quantium Experience Look Like? Working at Quantium will allow you to challenge your imagination. You will get

📌 Analyst - Product Analytics (Melbourne)
🏢 Quantium
📍 Melbourne