20 Aug
|
NSW Department of Customer Service
|
Sydney
20 Aug
NSW Department of Customer Service
Sydney
Job Description
Overview
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Senior Data Scientist — NSW Fair Trading, Data and Analytics team. Hybrid work arrangements, Sydney CBD - McKell Building. Office attendance required 2-3 days per week.
n Salary: Base $129,464 - $142,665 per annum + Superannuation. Employment Type: Ongoing, Full-time. Division: This role sits within the NSW Fair Trading Division in the Data and Analytics team.
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An exciting opportunity has arisen within NSW Fair Trading for a Senior Data Scientist. We are looking for someone passionate about using data science to improve regulatory decision-making and public outcomes. You'll turn data into insights that drive evidence-based approaches to compliance, risk, and service delivery.
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Be Part of the Future of Fair Trading. NSW Fair Trading is working to ensure safe marketplaces for goods, services and homes in NSW. We're creating a more modern, responsive and risk-based Fair Trading — one that understands the needs of people and businesses, embraces collaboration and innovation, and delivers better outcomes across the rental, strata, property and consumer markets we serve.
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What you'll do
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Design and execute experiments to improve compliance outcomes, using any combination of appropriate methodologies and technologies, including traditional machine learning techniques, statistical analysis, graph analysis, and transformer type models.
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Build data-driven tools and automations to deliver operational efficiencies, including by automating summarisation and classification tasks in workflows and integrating datasets to improve access to information.
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Design, build, deploy, and continuously enhance AI/ML models to improve regulatory risk identification, compliance efficiency, and business process optimisation.
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Conduct in-depth statistical analysis to uncover emerging regulatory risks and trends, supporting strategic planning,
policy development, investigations, and compliance operations.
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Develop robust data pipelines to facilitate seamless ingestion, cleaning, and transformation of datasets, ensuring reliable and accessible data for data science products.
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Manage relationships with key business stakeholders to understand their needs, prioritise initiatives, and iterate solutions, ensuring sustained alignment with organisational objectives.
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Design and implement graph analytics solutions that identify, visualise, and assess connections between actors, events, and objects, enhancing regulatory compliance insights.
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Lead the development of advanced solutions for analysing unstructured data, integrating text, image, and other complex formats into data science products to improve analytical depth.
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Partner with policy, compliance, and ICT teams to embed data science into operations.
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Communicate findings clearly to non-technical audiences and senior leaders.
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To be successful in this role you will have
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Data science expertise - experience applying statistical or machine learning methods to solve business problems.
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Technical capability - proficiency in Python, R, SQL, and data visualisation tools.
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Collaboration - ability to partner effectively with multidisciplinary teams.
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Strategic mindset - focus on practical, scalable solutions to complex challenges.
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Communication - capacity to explain technical concepts to varied stakeholders.
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Demonstrated experience delivering analytical or data science solutions in a complex setting.
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Strong technical and statistical skills using modern programming and visualisation tools.
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Understanding of data governance, ethics, and privacy principles.
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Tertiary qualifications and/or equivalent experience in data science, statistics, or a related discipline.
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#J-*****-Ljbffr
📌 Senior Data Scientist (Sydney)
🏢 NSW Department of Customer Service
📍 Sydney