Lead Data Scientist - AI Technical Solutions

Quantium; Sydney; Hybrid; AUD 200,000 - 260,000; Full time

Benefits offered by this job

Flexible work arrangements

Continuous learning

Remote working

Job summary

Quantium in Sydney seeks a Lead Data Scientist - AI Technical Solutions to design and deliver production-grade generative AI solutions for clients, leading data science teams and translating AI capabilities into practical business value.

You will combine deep AI expertise with people leadership, shape the team direction, drive pre-sales support, and ensure robust delivery across projects in a collaborative, fast-paced environment.

Qualifications

• Minimum 7+ years in data science or ML delivery.
• Proven track record leading teams of data scientists.
• Experience delivering generative AI applications.

Responsibilities

• Architect and lead the delivery of complex generative AI applications, from design through to production deployment.
• Mentor and grow a team of data scientists while fostering curiosity and learning.
• Oversee end-to-end AI solution delivery with robust documentation for client self-sufficiency.
• Engage in pre-sales activities including technical scoping and client presentations.

Skills

AI leadership

Generative AI

Python

Cloud-native development

CI/CD

Tools

Airflow

Vertex AI Pipelines

LangChain

LangGraph

Python

Job description

Lead Data Scientist - AI Technical Solutions

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.

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!

We’ve got some pretty sweet perks:

• 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.