Top Data Science Jobs in Sydney

Lead validation for applied AI product opportunities before development begins. Assess ideas and proofs of concept, conduct discovery and assumption testing, develop market sizing and unit economics, and present invest-or-stop recommendations to senior stakeholders. Collaborate with engineering, legal, and operations, help create the validation methodology, make evidence-based build-or-kill decisions, and shape product vision and go-to-market plans for validated opportunities.

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.

Manage a portfolio of FMCG clients, serving as a trusted advisor on pricing, promotions, category management, and brand strategy. Deliver hands-on analysis using customer and shopper data, translate complex analytics into commercial recommendations, coordinate cross-functional teams, develop industry relationships, and support team members’ technical growth and career progression. The role requires liquor-sector expertise, strong communication, presentation, business development, and curiosity about emerging AI technologies.

Own end-to-end talent acquisition for the Engineering organization, partnering with the CTO and senior technology leaders on hiring strategy, market intelligence, sourcing, and candidate experience. Build pipelines for hard-to-fill technical roles, improve recruitment processes and tools, support employer branding, and manage, coach, and develop a small team of technical recruiters.

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.