Senior Data Scientist - AI Technical Solutions

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.

Design and build production-grade GenAI and LLM applications using Python and modern AI frameworks (e.g. LangChain, LangGraph)

Architect and implement AI solutions on major cloud platforms (AWS, Azure, or GCP) using containerisation and cloud-native practices

Make informed technical decisions on AI approaches — knowing when to use classical ML, LLM prompts, workflows, or agents

Design 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 translate technical concepts for non-technical stakeholders

Conduct code reviews, mentor junior team members, and contribute to team technical standards

Support business development through technical scoping, solution design, and proposal contributions

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

Technical depth: Strong Python skills and hands-on experience building GenAI/LLM applications. You understand how LLMs work under the hood and know how to make smart architectural decisions.

Delivery mindset: You balance technical excellence with pragmatism. You can navigate ambiguity, manage competing priorities, and consistently deliver production-quality solutions.

Communication: You translate complex technical concepts into clear language for non-technical audiences, and build trusted relationships with client teams.

5+ years of experience in data science, AI/ML development, or technical consulting

Proven track record of delivering production-grade AI/ML solutions end-to-end

Strong Python programming skills with solid software engineering practices — testing, code quality, and version control

Practical experience building GenAI/LLM applications using frameworks like LangChain, LangGraph, or equivalent

Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and containerisation (Docker)

Solid understanding of ML/AI fundamentals including how LLMs work, transformer architectures, and when to apply different approaches

Working knowledge of SQL and data pipeline concepts

Strong communicator — able to explain complex technical concepts clearly to non-technical audiences

Experience with data orchestration tools (Airflow, Vertex AI Pipelines) and transformation frameworks (DBT)

Familiarity with ML algorithms (GBM, GLM) and experimentation frameworks including A/B testing

Background in consulting or client-facing delivery environments

Experience mentoring or coaching junior technical team members

Contributions to open source projects or technical communities

Working at Quantium will allow you to challenge your imagination. You will get to solve complex 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.