Top Data Science Jobs in Melbourne

Drive ANZ revenue by generating new enterprise business and expanding strategic accounts. Sell complex HR, L&D, and analytics solutions to C-suite buyers, lead multi-stakeholder deals, forecast and manage pipeline, collaborate cross-functionally, and represent the company at industry events. Support workforce planning and HR transformation initiatives and travel across APAC as required.

Principal Consultant leading data and AI advisory engagements, business transformation, client relationships, project delivery, solution development, quality reviews, proposals, thought leadership, and team mentoring. The role requires applying data science and analytics across customer, marketing, digital, and finance functions while translating complex technical concepts for diverse stakeholders. Responsibilities include overseeing medium to large projects, managing delivery risks, building data solutions, advising executives, supporting business development, and enhancing consulting frameworks and offerings.

Manage and scale a 24/7 Security Operations Center by defining processes, shift coverage, training, and playbooks. Drive analyst development in forensics, IR, malware analysis, detection engineering, and threat hunting. Coordinate with Product, Support, and cross-functional stakeholders to operationalize new capabilities, maintain QA, report on OKRs, and contribute to public-facing engagements.

Lead the superannuation and wealth portfolio, ensuring commercial and delivery success of client engagements. Build C-suite relationships, drive business development, shape AI-driven propositions, manage proposals/pricing, and grow a high-calibre team while implementing AI-enhanced analytics solutions.

Lead a multidisciplinary engineering team building next-generation conversational and semantic search capabilities. Drive technical direction, delivery, operational excellence, LLM integration, evaluation-driven development, and cross-functional collaboration to scale AI-powered search systems.

The Head of Data will lead the data organization, define the company-wide data strategy, ensure high-quality decision making, collaborate across teams, mentor leaders, and establish best practices in data governance and execution.

The nbn Graduate Program offers recent graduates the opportunity to work on Australia's digital infrastructure through hands-on experience over two years with rotations in various disciplines.

The Account Executive will drive sales through prospecting and closing new business in enterprise markets, focusing on technical solutions and customer value.

The Senior Analyst will use data and analytical techniques to solve business challenges, create dashboards, communicate insights, and partner with teams to enhance product features and operational processes.

Lead and hands-on manage a data science team to design, prototype and deploy production-grade GenAI and multi-agent AI solutions. Own end-to-end initiatives, ensure production reliability, governance and measurable business outcomes, partner with cross-functional stakeholders, and build reusable AI platforms and evaluation practices.

Join CommBank's Data Science & AI Talent Community to build AI solutions improving customer outcomes while fostering responsible and ethical use of AI. Positions available range from Data Scientist to Principal Data Scientist, emphasizing collaboration and innovation in a flexible work environment.

This role leads enterprise-scale AI and Data transformation programs, acting as a trusted advisor to senior executives, and shaping data strategies and governance frameworks.

Build and improve backend and data pipelines to fetch and analyze smart meter time-series data, develop classical ML models to size batteries, prioritize features that drive revenue, and collaborate with founder, UX, and contractors to ship experiments rapidly.

Build and improve a platform that ingests smart-meter time series data, models household energy consumption, simulates battery performance, and prioritises features that drive revenue. Work across backend (Python/Clojure), frontend (TypeScript), time-series databases, and classical ML models to deliver production-ready analyses and experiments; collaborate with founder, UX specialist, and overseas developers; possibly manage a contractor.