Top Data Science Jobs in Sydney

The Technology Graduate Program offers graduates hands-on experience in IT through rotations, mentoring, and collaboration on technology solutions and system improvements.

The Financial Crime Intelligence & Investigations Manager leads analysis and investigations to combat fraud and financial crime, ensuring timely responses and strategic insights for Cuscal.

The Senior Product Manager for Content Safety will enhance product safety through collaboration, prioritizing user needs, defining safety metrics, and ensuring project alignment across teams, while addressing industry standards and risks involved in content safety.

Lead the digitisation and productisation of Nine's media archive: define strategy and roadmap, drive discovery and monetisation, partner with Engineering and Data Science for AI-powered solutions, own data/experimentation strategy, and align stakeholders through presentations and collaboration.

The role involves conducting research in machine vision for deep visual understanding and multimodal learning, developing deep learning methods, and publishing research findings.

As an Enterprise Account Executive, you will expand Snowflake's presence by nurturing existing customer accounts, driving AI initiatives, and developing sales strategies to meet targets, working with stakeholders across technology and business.

The Senior Manager Data Science will design and deliver advanced analytics solutions, mentor junior data scientists, and build scalable data products using AI and machine learning.

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 Data Science Manager will lead data projects, educate teams on consumer insights, analyze data, and enhance methodologies. This role requires strong communication and stakeholder management skills while utilizing data analytics to improve consumer behavior understanding.

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

As Data Science Lead, you'll develop advanced analytics and AI solutions, guide projects, mentor team members, and ensure effective application of data science.