Data Scientist – Technical AI SolutionsNew

Remote
August 27, 2026
Full Time
Application ends: November 27, 2026
Apply Now

Job Description

The Role

As a Data Scientist in the AI Technical Solutions team, you will contribute to the design and delivery of GenAI solutions for some of Australia’s largest organisations. This is a hands-on technical role where you will work on production-grade AI applications — from initial design through to client handover — developing your technical expertise alongside a consultative mindset.

You will work alongside experienced data scientists, engineers, and client teams to solve complex business problems using large language models (LLMs), machine learning, and modern cloud technologies. If you are eager to grow your skills in an environment where technical rigour meets real-world impact, this role is for you.What You’ll Do

  • Contribute to building production-grade GenAI and LLM applications using Python and modern AI frameworks (e.g. LangChain, LangGraph)
  • Work with cloud platforms (AWS, Azure, or GCP) and containerisation tools to support the delivery of AI solutions
  • Apply a range of AI approaches under guidance — from classical ML through to LLM prompts, workflows, and agents
  • Support the design of 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 communicate technical concepts clearly
  • Participate in code reviews and contribute to team technical standards
  • Identify and communicate technical risks and trade-offs clearly and proactively

What You’ll Bring

  • A degree in a quantitative field such as computer science, mathematics, statistics, engineering, or equivalent demonstrated capability in data science or AI/ML
  • 2–4 years of experience in data science, AI/ML development, or a related technical role
  • Solid Python programming skills with an appreciation for good software engineering practices — testing, code quality, and version control
  • Some practical exposure to GenAI/LLM applications, including frameworks such as LangChain, LangGraph, or equivalent
  • Familiarity with at least one major cloud platform (AWS, Azure, or GCP) and an understanding of containerisation concepts (Docker)
  • A foundational understanding of ML/AI concepts, including how LLMs work and when to apply different approaches
  • Working knowledge of SQL and data pipeline concepts
  • Clear communication skills — able to explain technical concepts to non-technical audiences
  • Experience contributing to AI/ML solutions end-to-end, ideally in a professional setting

Nice to Have

  • Exposure to data orchestration tools (Airflow, Vertex AI Pipelines) and transformation frameworks (DBT)
  • Familiarity with ML algorithms (GBM, GLM) and experimentation frameworks, including A/B testing
  • Some experience in consulting or client-facing delivery environments

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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