Top Data Science Jobs in Sydney

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 development and execution of an enterprise B2B AI platform product (agentic systems). Define strategy and roadmaps, partner with Data Science and Engineering, prioritize customer and operational needs, use data and analytics to drive decisions, run rapid prototyping and experiments, remove delivery obstacles, mentor teams, and optimize scalable product journeys and workflows.

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 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.

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.

Client-facing data scientist for consumer measurement: design and evaluate panels, clean and prepare large datasets, develop and prototype new methodologies, support production deployment, present insights to clients and stakeholders, document best practices, and identify data quality risks and enhancements.

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.

Join a 12-month graduate program in Scyne's Data & AI team to build analytics and AI-enabled solutions for public sector and commercial clients. Work with Python, SQL, BI tools, AWS/Azure, and enterprise AI (Gemini/Claude) in agile teams to translate stakeholder needs into data-driven insights, guided by mentoring and structured learning.

Lead data science for Canva's Ecosystem, partnering with Product and Engineering to define measurement, experimentation, and AI evaluation strategies. Drive growth opportunities, set data-informed goals, coach senior data scientists, and surface insights for product and commercial teams.

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.

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

Develop statistical and computational methods for spatial omics, apply methods to biological datasets with collaborators, mentor students, publish and present results, and contribute to open-source software and documentation.