Top Data Science Jobs in Sydney

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.

The Senior Product Manager will lead the development of audience targeting products, defining strategy and roadmap, managing AI product workflows, and ensuring alignment across teams to meet customer needs in the APAC market.

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.

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 AI Deployment Engineer will collaborate with startups, optimizing AI systems, prototyping workflows, and enhancing product quality while providing valuable insights to research and product teams.

The role involves leading talent acquisition for ANZ, managing end-to-end recruitment, building talent pipelines, and engaging with stakeholders across commercial and technical disciplines.

Lead product strategy and execution for content safety tools and services. Partner with engineering, data science, operations, legal, and policy to define safety outcomes, prioritise backlog, drive adoption, and operationalise review tooling, policy enforcement, UX, and moderator wellbeing. Act as escalation point for incidents, appeals, and investigations, and translate multi-stakeholder needs into measurable, defensible safety solutions.

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 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.

Lead the CJKI data science function to shape regional strategy and influence global product and growth decisions. Build and coach a high-performing team, set experimentation and measurement standards, create scalable data products, and partner with regional and global stakeholders to translate local complexity into company-wide impact.

Design and run rigorous statistical analyses on Tracksuit's longitudinal brand dataset, build reusable analytical frameworks and reproducible code, ensure methodological rigour for flagship research, and translate results into clear commercial narratives for internal and external stakeholders.

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