Data Scientist – Production ML & GenAI
Sydney | Circa $120,000 + Super + Bonus | Hybrid (3 days office)
Fantastic opportunity to get early experience in productionizing Agentic AI solutions in an enterprise environment.
About the Role
We're working with a large enterprise in Sydney looking for a hands‐on Data Scientist with around 2–4 years of commercial experience who wants to move beyond notebooks and work directly on real production AI solutions. This role sits within a delivery‐focused environment where you'll work closely with engineers, analysts, and business stakeholders to take machine learning and GenAI use cases (including GPT/LLM-based solutions) from prototype through to production.
Rather than sitting in a purely experimental function, you'll be embedded in a cross‐functional squad where the focus is on building, deploying, and supporting real‐world data science solutions that are scalable, governed, and production‐ready.
What You'll Be Doing
* Work closely with engineers to help deploy and support ML & AI solutions in production
* Assist in transitioning prototypes into scalable, production‐ready systems
* Support monitoring, debugging, and improving existing data pipelines and models
* Gain exposure to real deployment workflows, CI/CD concepts, and release processes
* Build and refine machine learning models and feature pipelines
* Work with structured and unstructured data across multiple use cases
* Support model evaluation, testing, and performance trackingContribute to experimentation, statistical analysis, and model explainability
* Develop quick prototypes to test ideas, feasibility, and data availability
* Translate business problems into testable hypotheses and simple models
* Run experiments, compare approaches, and iterate based on results
* Clearly document findings and recommendations for productionisation
* Work within established model governance and risk frameworks
* Support documentation of model assumptions, limitations, and validation results
* Ensure solutions meet data privacy, compliance, and enterprise standards
* Act as a bridge between data science, engineering, and business teams
* Share insights and contribute to improving team practices and standards
* Support and learn from senior team members in a collaborative environment
About You
We're looking for someone early in their Data Science career (2–4 years) who is ready to step into production‐focused work.
Qualifications and experience:
* 2–4 years' experience as a Data Scientist or similar role
* Strong Python and SQL skills
* GPT model experience (or similar)
* Experience working with machine learning models in a commercial environment
* Exposure to model deployment or production systems (even if limited)
* Microsoft Azure experience
* Exposure to GenAI / LLMs (e.g. GPT, Azure OpenAI, NLP projects)
* Understanding of model monitoring, validation, or drift detection
* Experience working in regulated or enterprise environments
Why This Role?
* Real opportunity to work on production ML and GenAI systems, not just experimentation
* Exposure to modern Azure‐based AI tooling and GPT/LLM use cases
* Embedded in a delivery squad working end‐to‐end on real business problems
* Strong mentorship and learning from senior engineers and data scientists
* Clear career growth pathway
Location & Package
* Sydney based
* Hybrid working (3 days in office per week)
* $120,000 + Superannuation
* Full‐time permanent role
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