Data Scientist - Technical AI Solutions

Work Initiatives; Melbourne; Hybrid; AUD 140,000 - 180,000; Full time

Benefits offered by this job

Flexible work arrangements

Remote work up to 30 days per year

Global mobility

Job summary

Quantium in Australia seeks a Data Scientist in the AI Technical Solutions team to contribute to GenAI solutions for major Australian organisations. This hands-on role involves building production-grade AI applications from design to handover, using Python and modern AI frameworks, and collaborating with cross-disciplinary teams.

You will work with clouds (AWS/Azure/GCP), containers (Docker), and data tooling (SQL, DBT), applying ML and LLM approaches, while communicating complex concepts

Qualifications

• Degree in computer science, mathematics, statistics, engineering, or equivalent.
• 2–4 years of data science/AI/ML development experience.
• Strong Python and software engineering practices.
• Experience with GenAI/LLM frameworks is preferred.

Responsibilities

• Design and deliver GenAI solutions for large Australian organisations.
• Develop production-grade AI applications from design to client handover.
• Collaborate with data scientists, engineers, and client teams.
• Build APIs and data pipelines using SQL, DBT, and orchestration tools.
• Contribute to evaluation frameworks and monitoring for performance.

Skills

Python

LLMs / GenAI

ML Development

Communication

Education

Bachelor's degree in a quantitative field

Tools

LangChain

LangGraph

Docker

DBT

SQL

Airflow

Job description

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), we are at the forefront of what's possible with data.

The Role As a Data Scientist in the AI Technical Solutions team, you will contribute to the design and delivery of GenAI solutions for some of Australia's largest organisations. This is a hands-on technical role where you will work on production-grade AI applications — from initial design through to client handover — developing your technical expertise alongside a consultative mindset.

You will work alongside experienced data scientists, engineers, and client teams to solve complex business problems using large language models (LLMs), machine learning, and modern cloud technologies. If you are eager to grow your skills in an environment where technical rigour meets real-world impact, this role is for you.

What

You'll Do Contribute to building production-grade GenAI and LLM applications using Python and modern AI frameworks (e.g. LangChain, LangGraph)Work with cloud platforms (AWS, Azure, or GCP) and containerisation tools to support the delivery of AI solutions

Apply a range of AI approaches under guidance — from classical ML through to LLM prompts, workflows, and agents

Support the design of evaluation frameworks and observability metrics to ensure solution quality and performance

Develop APIs and build data pipelines using SQL, DBT, and orchestration tools

Collaborate with clients and domain experts to understand problems, validate approaches, and communicate technical concepts clearly

Participate in code reviews and contribute to team technical standards

Identify and communicate technical risks and trade-offs clearly and proactively

What You'll BringA degree in a quantitative field such as computer science, mathematics, statistics, engineering, or equivalent demonstrated capability in data science or AI/ML2–4 years of experience in data science, AI/ML development, or a related technical role

Solid Python programming skills with an appreciation for good software engineering practices — testing, code quality, and version control

Some practical exposure to GenAI/LLM applications, including frameworks such as LangChain, LangGraph, or equivalent

Familiarity with at least one major cloud platform (AWS, Azure, or GCP) and an understanding of containerisation concepts (Docker)A foundational understanding of ML/AI concepts, including how LLMs work and when to apply different approaches

Working knowledge of SQL and data pipeline concepts

Clear communication skills — able to explain technical concepts to non-technical audiences

Experience contributing to AI/ML solutions end-to-end, ideally in a professional settingNice to HaveExposure to data orchestration tools (Airflow, Vertex AI Pipelines) and transformation frameworks (DBT)Familiarity with ML algorithms (GBM, GLM) and experimentation frameworks, including A/B testing

Some experience in consulting or client-facing delivery environments

Our ValuesMove fast with care — we hustle with humility and heart, even under pressure

Reach for remarkable — we respectfully challenge the status quo, with courage, passion, and discipline

Share our superpowers — we recognise, value, and celebrate what makes each of us unique

Balance tomorrow with today — we weigh short- and long-term trade-offs thoughtfully in our decision-making

Drive for impact — we own the responsibility to deliver tangible value to our partners and clients What could your Quantium experience look like? Working at Quantium will allow you to challenge your imagination.

You will get to solve complex business problems using rigour, precision, and by asking great questions — but it also means you can think big, outside the box, and push your problem-solving skills to the max. By Joining The Quantium Team, You'll

Get To Forge your path: So many of our team have moved around different teams or offices.

You'll be in the driver's seat, and we empower you to make your career your own. Find your kind: Embrace diversity and connect with your tribe — think foodies, dog lovers, readers, or runners. Make an impact: Leave your mark.

Your contributions resonate, regardless of your role or rank. Benefits On top of the Quantium experience, you will enjoy a range of great benefits that go beyond the ordinary, including:

Flexible work arrangements: Achieve work-life balance at your own pace with hybrid and flexible work arrangements

Remote working: Embrace the opportunity to work outside of your assigned home location for up to 30 days every year (eligibility criteria apply)

Global mobility: As we expand globally, there are lots of exciting opportunities to work abroad with Quantium