Design and deliver models, analytics, and insight frameworks for faster decision-making within Finance and G&A; teamsLead forecasting, planning, and performance management efforts, embedding models in key operational cyclesBuild solutions independently as part of a high-impact teamMentor analysts and data scientists across G&A; to enhance AI and advanced analytics applicationCollaborate with teams to create usable models and dashboards from complex dataRequirementsStrong SQL skills for extracting, wrangling, and analyzing large, complex datasetsSolid Python or R experience across the full data science workflow, from feature engineering to model deploymentGood grounding in statistical and machine learning techniques, including time-series forecasting, regression, classification,



and causal inferenceComfortable with data visualisation tools like Tableau to communicate complex analysis to non-technical stakeholdersStrong problem-framing skills to translate ambiguous business questions into transparent analytical problemsExperience partnering with Finance or a similar corporate functionCore CompetenciesDemonstrates expertise in SQL and Python or R for data analysis and model deployment, with a strong foundation in statistical and machine learning techniques.
Capable of mentoring teams and translating complex data into actionable insights for Finance and G&A; functions.Highest-signal resume keywordsSQL Data ExtractionPython Data Science WorkflowStatistical AnalysisMachine Learning TechniquesData Visualization with TableauATS Optimization KeywordsHard SkillsSQLPythonRStatistical TechniquesMachine LearningTime-Series ForecastingRegression AnalysisClassificationCausal InferenceFeature EngineeringSoft SkillsProblem-FramingMentoringCollaborationIndustry KeywordsFinanceG&AData; ScienceAnalyticsPerformance ManagementTools & TechnologiesTableau
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📌 Senior Data Scientist, Finance (Melbourne)
🏢 Jobtailor
📍 Melbourne