Top Data Science Jobs in Sydney

Lead end-to-end design and delivery of a major global claims transformation initiative, translating business needs into technical requirements, coordinating cross-functional teams, managing project plans, driving automation, change management, and continuous improvement across international claims operations.

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 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.

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.

Lead marketing analytics for a high-growth SaaS company: build attribution frameworks, develop channel and program metrics, create dbt data models, deliver dashboards and deep-dive analyses, and connect marketing investment to pipeline, ARR, and payback for stakeholders across marketing, finance, and executives.

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