Lead Data Scientist - AI Technical Solutions Sydney

Quantium; Sydney; Hybrid; AUD 140,000 - 210,000; Full time

Benefits offered by this job

Flexible work arrangements

Remote working

Continuous learning

Job summary

Quantium in Sydney is seeking a Lead Data Scientist for AI Technical Solutions to drive design and delivery of production-grade AI for clients. You will lead a team of data scientists, translate advanced AI capabilities into practical business value, and set engineering standards across the group.

The role blends deep ML expertise with people leadership, pre-sales involvement, and a drive to build reusable components while staying connected to the evolving AI ecosystem.

Qualifications

• 7+ years in data science or AI delivery with leadership.
• Experience with large language models and generative AI.
• Strong Python and cloud-native development.
• Experience with production AI solutions and ML pipelines.
• Ability to scope, estimate effort, and engage clients.

Responsibilities

• Architect and lead delivery of complex generative AI applications.
• Mentor a team of data scientists.
• Oversee end-to-end AI solution delivery.
• Contribute to pre-sales activities and client presentations.
• Shape the AI Solutions team's direction.

Skills

AI leadership

Generative AI

Python

Cloud-native

MLOps

Team leadership

Tools

LangChain

LangGraph

Airflow

Vertex AI

CI/CD

Job description

Lead Data Scientist - AI Technical Solutions

Sydney

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.

The Lead AI Tech Solutions is responsible for leading the design and delivery of production-grade AI solutions for clients, managing teams of data scientists to build innovative generative AI applications that address complex business problems.

This is an exciting opportunity to join our AI Solutions team, leading the design and delivery of production-grade AI solutions that address complex business problems. You will combine deep technical expertise in AI and machine learning with people leadership, translating emerging AI capabilities into practical solutions that make a real impact for our clients.

How will you make an impact?

• Technical leadership: Architect and lead the delivery of complex generative AI applications, from design through to production deployment, setting technical standards and championing engineering best practices across the team
• People development: Manage and mentor a team of data scientists, fostering a culture of intellectual curiosity, experimentation, and continuous learning to support career growth and team capability
• Solution quality: Oversee end-to-end AI solution delivery, balancing technical excellence with commercial pragmatism and ensuring robust documentation for client self-sufficiency
• Client engagement: Contribute to pre-sales activities including technical scoping, proposal development, and client presentations, translating complex AI concepts into compelling business value propositions
• Strategic contribution: Help shape the direction of the AI Solutions team, identifying opportunities to develop reusable components and accelerators, and staying connected to the evolving AI ecosystem

The superpowers you’ll be bringing to the team:

• Proven AI leadership: 7 or more years of experience in data science, AI and machine learning solution delivery, or technical consulting, with a demonstrated track record of progression to technical leadership
• Generative AI expertise: Deep understanding of large language model applications and practical experience building with frameworks such as LangChain, LangGraph, or similar
• Engineering excellence: Strong Python programming skills with modern software development practices including testing, CI/CD, code quality tools, and cloud-native development (AWS, Azure, or GCP)
• Architecture thinking: Experience leading the design of production-grade AI solutions and machine learning pipelines using orchestration tools such as Airflow, Vertex AI Pipelines, and DB
• Commercial awareness: Ability to communicate effectively with both technical and non-technical audiences, with experience in effort estimation, scoping, and business development

Remember – you might not tick all the boxes, but don’t let that from stopping you applying. We’re more interested in how you work, your ability to solve problems and think big.

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 rigor, 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.

But wait, there’s more!

• Flexible work arrangements: Achieve work life balance at your own pace with hybrid and flexible work arrangements.
• Continuous learning: Our vision is empowering analytics talent to thrive. The Analytics Community fosters the development of individuals, thought leadership and technical excellence at Quantium through building strong connections, fostering collaboration, and co-creation of best practice.
• Remote working: Embrace the opportunity to work outside of your assigned home location for up to 30 days every year.