Senior Data Scientist - AI Technical Solutions

Posted 7 Days Ago
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Sydney, New South Wales, AUS
In-Office
Senior level
Information Technology • Consulting
The Role
Design and deliver production-grade GenAI and LLM applications end-to-end: architecture, cloud deployment, containerisation, APIs, data pipelines, evaluation and observability. Collaborate with clients and domain experts, mentor junior team members, conduct code reviews, and support technical scoping and proposals.
Summary Generated by Built In
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).

As a Senior Data Scientist you'll design and deliver cutting-edge GenAI solutions for some of the Australia's largest organisations. This is a hands-on technical role where you'll take ownership of production-grade AI applications from initial design through to client handover — blending deep technical expertise with a consultative mindset.

You'll work alongside talented data scientists, engineers, and client teams to solve complex business problems using the latest in large language models (LLMs), machine learning, and modern cloud technologies. If you thrive in environments where technical rigour meets real-world impact, this role is for you.

How You'll Create Impact

  • 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

The Superpowers You'll Be Bringing To The Team

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.

Required Experience And Capabilities

  • 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

Desirable

  • 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

What Could Your Quantium Experience Look Like?

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.

Benefits

On top of the Quantium Experience, you will enjoy a range of great benefits that go beyond the ordinary. Some of these include:

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

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

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

Apply now and let's forge a better, more intelligent world together!

Quantium’s recruitment process involves the collection and use of personal information, see our Candidate Data Collection Notice for more information. This provides information on how we collect, use & store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.


Skills Required

  • 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, version control)
  • Practical experience building GenAI/LLM applications using frameworks like LangChain or 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 LLMs and transformer architectures
  • Working knowledge of SQL and data pipeline concepts
  • Strong communication skills, able to explain complex technical concepts 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
Am I A Good Fit?
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The Company
HQ: Sydney
1,280 Employees
Year Founded: 2002

What We Do

When expertly harnessed and strategically applied, data can be transformational. Quantium offers an unmatched track record of innovation in analytics and data science since 2002. We combine the best of human and artificial intelligence to power possibilities for individuals, organisations and society. Founded in Australia in 2002, Quantium works with iconic brands in over 20 countries, partnering on their greatest challenges and unlocking breakthrough opportunities.

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