Senior Data Scientist - Technical AI Solutions

We're ALL in on AI — transforming ourselves into an AI-native organisation while helping our clients do the same. With 23 years of domain expertise, proprietary data partnerships, and industry-leading AI adoption (90% weekly active usage).

As a Senior Data Scientist you'll design and deliver cutting-edge GenAI solutions for some of the Australia's largest organisations. This is a hands-on technical role where you'll take ownership of production-grade AI applications from initial design through to client handover — blending deep technical expertise with a consultative mindset.

You'll work alongside talented data scientists, engineers, and client teams to solve complex business problems using the latest in large language models (LLMs), machine learning, and modern cloud technologies. If you thrive in environments where technical rigour meets real-world impact, this role is for you.

How You'll Create Impact

• Design and build production-grade GenAI and LLM applications using Python and modern AI frameworks (e.g. LangChain, LangGraph)
• Architect and implement AI solutions on major cloud platforms (AWS, Azure, or GCP) using containerisation and cloud-native practices
• Make informed technical decisions on AI approaches — knowing when to use classical ML, LLM prompts, workflows, or agents
• Design 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 translate technical concepts for non-technical stakeholders
• Conduct code reviews, mentor junior team members, and contribute to team technical standards
• Support business development through technical scoping, solution design, and proposal contributions
• Identify and communicate technical risks and trade-offs clearly and proactively

The Superpowers You'll Be Bringing To The Team

Technical depth: Strong Python skills and hands-on experience building GenAI/LLM applications. You understand how LLMs work under the hood and know how to make smart architectural decisions.

Delivery mindset: You balance technical excellence with pragmatism. You can navigate ambiguity, manage competing priorities, and consistently deliver production-quality solutions.

Communication: You translate complex technical concepts into clear language for non-technical audiences, and build trusted relationships with client teams.

Required Experience And Capabilities

• 5+ years of experience in data science, AI/ML development, or technical consulting
• Proven track record of delivering production-grade AI/ML solutions end-to-end
• Strong Python programming skills with solid software engineering practices — testing, code quality, and version control
• Practical experience building GenAI/LLM applications using frameworks like LangChain, LangGraph, or equivalent
• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and containerisation (Docker)
• Solid understanding of ML/AI fundamentals including how LLMs work, transformer architectures, and when to apply different approaches
• Working knowledge of SQL and data pipeline concepts
• Strong communicator — able to explain complex technical concepts clearly to non-technical audiences

Desirable

• Experience with data orchestration tools (Airflow, Vertex AI Pipelines) and transformation frameworks (DBT)
• Familiarity with ML algorithms (GBM, GLM) and experimentation frameworks including A/B testing
• Background in consulting or client-facing delive