Job Type: Permanent position | Full time positionJob DescriptionWe are looking for a curious and analytically driven Data Scientist to join our team and transform complex datasets into actionable insights that inform strategic decision-making.
This role sits at the intersection of mathematics, statistics, programming, and business intelligence, requiring a candidate who can build and deploy sophisticated analytical frameworks including machine learning and AI solutions.
The ideal candidate is a collaborative problem-solver with strong communication skills, capable of translating data-driven findings into clear recommendations for both technical and non-technical stakeholders.Key ResponsibilitiesCollect, prepare, and clean large datasets for analysis, identifying and resolving data anomalies, inconsistencies, and quality issues to ensure analytical integrityApply advanced analytical techniques drawing on mathematical, statistical, programming, and database skills to extract meaningful insights from structured and unstructured dataDesign, build, and deploy machine learning and artificial intelligence frameworks that support automation, prediction, and pattern recognition across business functionsDevelop, evaluate, and iteratively refine statistical models and algorithms to uncover trends, forecast outcomes, and generate actionable insightsCollaborate with cross-functional teams to understand business objectives and translate them into clearly defined data science problems and analytical solutionsPresent data-driven findings, visualisations, and recommendations to key decision-makers and stakeholders in a clear and compelling mannerContribute strategic input and innovation to the organisation's data science roadmap,



identifying opportunities to leverage data for competitive advantageMaintain and document data pipelines, modelling processes, and analytical methodologies to ensure reproducibility and knowledge sharing across the teamMonitor and assess the performance of deployed models, implementing updates and improvements as required to maintain accuracy and relevanceSupport data governance and ensure compliance with data privacy regulations and organisational data management policiesRequired Qualifications & SkillsBachelor's degree or higher in Data Science, Statistics, Mathematics, Computer Science, or a related disciplineDemonstrated experience in a data science or advanced analytics role, with a portfolio of applied projectsProficiency in programming languages such as Python or R, with experience in data manipulation libraries (e.g. pandas, NumPy) and machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch)Strong understanding of statistical modelling, machine learning algorithms, and data mining techniquesExperience working with large datasets and familiarity with SQL and database queryingAbility to develop and evaluate predictive models, performing validation, tuning, and performance assessmentProficiency in data visualisation tools such as Tableau, Power BI, or equivalent libraries (e.g. Matplotlib, Seaborn)Strong analytical thinking with the ability to translate complex findings into clear,



business-relevant insightsExcellent verbal and written communication skills, with experience presenting to non-technical audiencesAbility to manage multiple priorities, work independently, and contribute effectively within a team-oriented team environmentPreferred QualificationsPostgraduate qualification (Master's or PhD) in a quantitative or data-related fieldExperience with cloud platforms such as AWS, Azure, or Google Cloud, particularly for model deployment and data storageFamiliarity with MLOps practices and tools for model versioning, monitoring, and deployment pipelinesKnowledge of natural language processing (NLP), computer vision, or other specialist machine learning domainsExperience working within Agile or Scrum delivery frameworksRelevant industry certifications in data science, machine learning, or cloud computing (e.g. AWS Certified Machine Learning, Google Professional Data Engineer)Prior experience in a relevant industry sector such as finance, healthcare, retail, or governmentWhy Join Us?
Be part of a forward-thinking team that places data and innovation at the core of strategic decision-making, giving you meaningful impact from day oneAccess ongoing professional development opportunities, including support for further study, certifications, and attendance at industry conferencesEnjoy a flexible working environment with hybrid arrangements that support a healthy work-life balanceCompetitive remuneration package with superannuation and opportunities for performance-based progressionCollaborative and inclusive workplace culture that values diverse perspectives and encourages knowledge sharingJob DetailsJob Type: Full-time, PermanentWork Schedule: 8-hour shift Salary: $70,000 – $120,000 per year + Super
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📌 Data Scientist (Sydney)
🏢 AI Talent
📍 Sydney