Top Data Science Jobs in Sydney

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.

Lead advisory engagements that align business goals with data and AI solutions. Advise clients, design and oversee data solutions, manage medium to large projects, review deliverables, develop proposals, support business development, and contribute to thought leadership. The role requires extensive client-facing consulting experience, strong communication and emotional intelligence, technical expertise in data and AI, and mentoring of junior consultants.

Develops advanced AI and machine learning solutions, including forecasting, reinforcement learning, optimization, generative AI, conversational AI, and graph AI. Leads predictive modeling initiatives, foundation model development, AI governance, and responsible AI practices. Partners with business and technical leaders to align AI strategies with organizational goals, establish performance metrics, and deliver measurable cost savings, efficiency improvements, and revenue growth.

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.

Leads Canva’s algorithmic strategy and roadmap for content intelligence, discovery, and personalization. Partners with business and engineering leaders to prioritize ML and AI opportunities, drives LLM-powered and real-time personalization experiences, and leads multidisciplinary teams across ML research, engineering, data science, and product management. Translates complex algorithmic concepts into strategic decisions for senior stakeholders while scaling high-impact machine-learning products.

Leads UniSuper’s data science capability and a specialist team delivering predictive models, machine learning, and advanced analytics. Sets technical standards, oversees model development and production maintenance, establishes governance, monitors performance and fairness, and translates analytical outputs into business decisions. Partners with senior stakeholders and Product Owners to identify valuable opportunities, prioritizes work, evaluates commercial and operational impact, and supports financial crime, efficiency, and regulatory objectives.

The Enterprise Account Executive will drive new business sales, leveraging C-level relationships, and executing complex sales strategies in the enterprise market, particularly focused on data solutions and cloud services.

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.

The role involves strategic data leadership, defining measurement strategies for productivity, leading experimentation, coaching teams, and identifying growth opportunities in product development.