Top Data Jobs in Sydney

As a Senior Data Scientist, you'll partner with business leaders to provide data insights, align metrics, and build data products while leveraging AI for efficiency.

As a Senior Data Scientist, you will apply scientific thinking to solve complex problems, collaborate with cross-functional teams, and drive product development through data analysis and experimentation.

Lead client-facing data and analytics programs in the insurance domain, focusing on consultative engagement, project delivery, and strategic solutions. Manage stakeholder relationships and drive analytics-led transformations while ensuring project success.

The Data Solution Analyst provides data solutions, designs data models, writes SQL queries, uses Python and Java for data workflows, and collaborates with teams to enhance analytics and reporting capabilities.

The Head of Data Operations manages the data team, ensures data quality, oversees operations, and enhances data processes while communicating with stakeholders.

The Data Engineer role involves architecting a unified data platform, managing data pipelines, supporting AI functions, ensuring data integrity, and collaborating with cross-functional teams.

The role involves designing and delivering data science solutions, managing client relationships, mentoring junior staff, and optimizing AI models based on Visa's extensive data sets.

As a Senior Data Scientist, you'll lead data-driven projects, develop AI systems for customer experiences, and optimize operations through automation, collaborating across teams to drive commercial growth.

The Data Engineer will support research teams by optimizing data processing workflows, managing data pipelines, and collaborating on data strategy. Responsibilities include development of platforms, cost optimization, monitoring, and mentoring.

The Data Scientist will analyze complex data sets, develop predictive models, and drive strategic business decisions using advanced analytical techniques, including machine learning and LLMs, while collaborating across teams to enhance operations and product offerings.

Lead Data Scientist at Thoughtworks responsible for managing data science projects, leveraging AI and machine learning, and collaborating with stakeholders to deliver insights and drive business value.

The Data Platform Engineer develops and maintains data pipelines, dashboards, and ensures data quality for data-driven decision-making.

The Data Analysis Engineer will perform data exploration, validation, and mining to support banking products, utilizing SQL and Python for detailed data analysis and ensuring data quality across projects.

The Carbon Data Analyst will define client data for carbon measurement, transform unstructured data, calculate carbon footprints, and provide feedback to improve the platform.

The Principal Data Scientist will lead data-driven insights, mentor teams, influence data strategy, and develop impactful AI features for Culture Amp's product offerings.

The Senior Data Platform Engineer will deliver data projects in a consulting environment, managing multiple priorities, working with cloud data platforms, and leading technical initiatives while collaborating with clients.

The Marketing Data Analyst will manage data analytics projects, analyze and interpret data, present findings to clients, and contribute to ongoing skill development.

Interns will collect, review, and analyze sports data while gaining hands-on experience in consultancy and insights within the sports industry.

As a Senior Data Engineer, you will design, develop, and maintain secure ELT data pipelines on Azure, ensuring data accuracy and governance while collaborating with teams to deliver actionable insights.

Responsible for building the data warehouse system, optimizing data architecture, managing the data team, and promoting data-driven product operations.

The Data Scientist will work with diverse clients to leverage AI and data science solutions, enhancing business operations across sectors, with a focus on retail and manufacturing.

The Staff Data Engineer will architect and enhance the Data Lake platform, ensuring performance and cost-efficiency while collaborating with product and engineering teams.

The Senior Data Engineer will own Blinq's data analytics infrastructure, ensuring data quality, integration, and supporting data-driven decisions through collaboration with product and engineering teams.

The Senior Data & Insights Analyst will analyze data, create actionable insights through dashboards and reports, streamline workflows using AI tools, and support revenue growth decisions in a fintech environment.

The Food & Nutrition Data Architect will design data solutions, collaborate with teams, and lead initiatives to improve data architecture and analytics for better business outcomes.