Top Data Science Jobs in Sydney

Develop technical partnerships with system integrators and cloud providers, create enterprise GenAI solutions and reference architectures, support strategic customer deals, lead technical enablement and developer events, troubleshoot complex issues, and provide product feedback. The role requires extensive customer-facing architecture experience, cloud expertise, familiarity with LLM tools, and strong communication skills.

Serve as a pre-sales technical advisor for enterprise customers across India and APAC, designing scalable Claude and LLM solutions. Translate business needs into architectures, guide API and Claude for Work integrations, develop evaluation frameworks, deliver technical content, and support customers from discovery through deployment. Collaborate with Sales, Product, and Engineering teams, share integration insights, and stay current with LLM developments while promoting safe and reliable AI adoption.

Leads engineering for customer-facing agentic AI products from discovery through production. Establishes technical direction, architecture, evaluation frameworks, quality and release standards, data strategies, and responsible AI practices. Manages senior leaders across AI engineering, data science, and software engineering while partnering with Product, Design, Security, Architecture, and external AI providers. Ensures AI products balance accuracy, latency, reliability, safety, privacy, auditability, and cost.

Lead engineering for MYOB’s customer-facing agentic AI products from discovery through production. Set technical direction, architecture, evaluation standards, and responsible AI practices while balancing quality, latency, reliability, safety, and cost. Lead multidisciplinary teams across AI engineering, data science, and software engineering; develop senior technical leaders; and partner with Product, Design, Security, Architecture, and external AI providers to deliver scalable AI experiences.

Leads AI advisory and digital transformation engagements for major enterprises. Partners with executives to define AI visions, develop adoption roadmaps, build business cases, track benefits, and guide large-scale implementation. Coordinates data science, engineering, product, and business teams while translating business goals into technical requirements and measurable outcomes.

Leads revenue-generating consulting engagements from executive relationship development and opportunity origination through transformation delivery. Builds business cases, ROI models, and transformation roadmaps; negotiates with senior stakeholders; and owns client outcomes, quality, and profitability. Leads hybrid teams of strategists, data scientists, and delivery professionals while expanding existing client portfolios. Requires extensive consulting leadership, competitive sales, AI and data transformation experience, executive presence, and commercial accountability.

Own enterprise business development and sales for Quantium’s scam, fraud, and identity API across banks and financial services organizations. Build target-account pipelines, create demand, manage complex multi-stakeholder sales cycles, negotiate contracts, and close deals. Develop executive relationships across fraud, risk, financial crime, product, and technology teams while shaping market positioning, monitoring regulatory and competitive trends, maintaining forecasts, and collaborating with product, marketing, pre-sales, and customer success teams.

Leads OneStream-based forecasting, reporting, and demand-planning capabilities for Commercial FP&A. Builds reports and dashboards, manages data reconciliations, supports month-end reporting, optimizes platform performance, and partners with administrators and implementation teams. Drives AI and automation opportunities, delivers training, and translates financial requirements into scalable technical solutions.

Build and maintain OneStream forecasting, planning, reporting, and dashboard capabilities for Commercial FP&A. Develop demand planning models, reports, reconciliations, and performance monitoring processes while supporting month-end reporting and data improvement initiatives. Partner with finance, data, administration, and implementation teams to optimize the platform, automate processes, troubleshoot performance, deliver actionable insights, and develop internal OneStream expertise. The role also evaluates AI and automation opportunities across FP&A workflows.

Designs and delivers NVIDIA-based generative AI solutions for enterprise customers and partners. Responsibilities include leading technical engagements, developing proofs of concept and demonstrations, writing Python for data and AI pipelines, designing scalable architectures, deploying workloads on Kubernetes, enabling customers through training, and coordinating engineering, product, sales, and external stakeholders. The role requires expertise in data science, deep learning, LLMs, RAG, agentic AI, LangChain, LangGraph, GPUs, and customer-facing technical consulting.

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.

The role involves conducting research in machine vision for deep visual understanding and multimodal learning, developing deep learning methods, and publishing research findings.

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.