Lead Data Scientist - AI Architect
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View all AI roles →Senior Analytics Engineer
- Design and maintain scalable data models for insights and experimentation
- 3-5 years analytics engineering or data engineering experience
- SQL, Python, PySpark, dbt, Databricks, Airflow, data modelling
AI & Power Platform Technical Lead
- Lead AI & Power Platform solution architecture, design & implementation
- Demonstrated experience as AI technical lead or solution architect
- Microsoft Foundry, Azure AI, GitHub Copilot, Power Platform, LLM, RAG
Senior Data Scientist
- Lead AI/ML solution development and implementation across the business
- 5+ years data science experience including model deployment
- Python, SQL, LLM applications, RAG, AI evaluation, cloud platforms
Conversational AI Technical Specialist
- Design, develop and deploy Conversational AI solutions in Genesys Cloud
- Proven experience in AI, ML or NLP development roles
- GCP, Dialogflow, Vertex AI, API integration, NLP
Some Data Scientists love research.
Some prefer the safety of large corporate teams.
Some chase FAANG logos.
And then there are the ones who just want to do great work with real-world AI — wherever the challenge is.
If you're in that last group, read on.
We're hiring a Data Scientist for a PE-backed AI consultancy with a growing national footprint (currently sub-10 people, but scaling fast). This team thrives on tackling high-impact, technically complex problems — from GenAI tooling to agent-based AI systems and government-grade infrastructure.
This role is open only to Australian Citizens due to upcoming work with federal agencies — if you have experience in or exposure to government departments, that’s a plus (but not essential).
What you’ll be doing:
Building and deploying ML models and GenAI systems
Working hands-on with AI agents, LLM pipelines, and secure environments
Seeing your work go to production, not just proof-of-concept
Collaborating with senior DS mentors who bring deep R&D and commercial expertise
What you bring:
5+ years hands-on experience in Data Science
Strong Python skills across modelling and data wrangling
Experience working with LLMs or AI agents (bonus points)
Models in production (not just notebooks)
PhD preferred, but not required
Bonus: any background working on government or regulated data projects
Azure experience is a big plus
Location:
Melbourne preferred
Open to Sydney-based candidates for the right fit
Must be an Australian Citizen (due to project security requirements)
Want to work with smart people, ship real AI solutions, and get your hands dirty?
Build, deploy, and enjoy.