Top Data Jobs in Sydney

Lead APAC data science initiatives: design and implement advanced ML and predictive models, run experiments, ensure data and ETL quality, deploy models, create visualisations and reports, and mentor/lead team members.

The Senior Data Scientist will enhance survey operations, analyze data quality, run experiments, and collaborate with cross-functional teams to solve business problems using advanced data science techniques.

As a Data Scientist at Tracksuit, you will scale survey operations, apply statistical techniques, build data quality systems, and collaborate with product teams to develop brand measurement solutions.

Lead Data Platform teams to enhance the data architecture, oversee data governance, manage product lifecycle, and ensure secure, scalable data access for internal users.

The Senior Product Manager will lead the Data Products portfolio, manage data engineers and data scientists, and create actionable insights for customers by utilizing data from Culture Amp products.

The Senior Data Engineer will develop and maintain data pipelines, define common data standards, integrate data systems, and collaborate with cross-disciplinary teams to enhance data governance and platform scalability.

In this role, you'll engage clients to design and implement data solutions using Microsoft technologies, facilitate workshops, and drive insights with powerful analytics.

The Senior Site Acquisition Manager supports property acquisition and capital deployment, conducts feasibility analyses, manages budgets, and engages with stakeholders for site selection.

Lead design and delivery of scalable data architecture and pipelines. Collaborate with stakeholders to integrate multiple data sources, maintain data infrastructure, ensure quality/reliability, and promote data-driven decisions while adopting modern data engineering best practices.

Lead the Market Data team to manage the full lifecycle of market data services, including platform administration, vendor and contract management, commercial optimisation, governance, risk controls, and continuous service improvement while collaborating with business and technology stakeholders.

This role involves managing data acquisition, building vendor relationships, conducting research, and developing strategic solutions for data insights.

The Sales Executive will drive revenue acquisition, exceed sales targets, and develop strategies across territories, focusing on consultative sales for financial services solutions.

The Energy and Financial Analyst role involves invoice validation, energy retailer management, sustainability data reporting, financial report preparation, and budgeting.

Support design, development and implementation of enterprise risk systems and reporting. Analyse data, build advanced analytics/models, produce risk and compliance reports, collect stakeholder requirements, translate into documentation, and collaborate to ensure data quality for decision-making.

Provide administrative and coordination support for project delivery, track budgets and resources, manage meeting logistics and documentation, reconcile invoices and purchase orders, maintain project lists and closure checklists, and mentor junior project administrators to ensure projects meet quality, timelines, and client satisfaction.

Design, run and analyse experiments to evaluate product and service value drivers. Collaborate with engineers to automate data collection, improve experimentation frameworks, and communicate actionable insights to stakeholders.

The role involves developing analytical scripts in SQL and Python, collaborating with lawyers and stakeholders, ensuring data accuracy, and creating bespoke data analytics solutions for clients.

The role involves designing and building cloud-native data platforms and pipelines, optimizing data storage, and consulting with clients on data solutions. It requires hands-on engineering skills and experience with modern data technologies.

Design, build, and optimize scalable data and AI solutions, lead engagements with executives, and mentor teams to drive high-quality outcomes in Data & AI.

The Technical Lead oversees technology leadership across client and internal initiatives, shaping architecture and standards while mentoring teams and driving innovation through emerging technologies.

This role involves collecting and processing audio data, managing cloud infrastructure on GCP, and collaborating with AI scientists to improve data quality and cost efficiency.

The Principal Marketing Specialist will develop and execute ABM strategies, create marketing campaigns, perform account research, align with sales, and analyze campaign performance.

Lead ANZ data partnerships strategy, secure and scale retail/audience/measurement partners, align data and identity solutions with commercial teams, drive partner-led go-to-market, and coordinate cross-functional stakeholders to deliver measurable commercial impact.

Lead and mentor a data science team to design, build, deploy and monitor production ML solutions (tree-based models, neural nets, transformers). Collaborate with engineering, product and stakeholders, manage prioritisation, BAU support, and deliver data products using cloud, containerisation and modern data platforms.

Lead design and delivery of enterprise-scale Google Cloud data and AI platforms. Provide strategic advice to senior stakeholders, define architecture and standards, build production-grade ML and agentic AI systems, drive infrastructure automation (Terraform/GitOps), security, and CI/CD, and support pre-sales engagements.