Design and deliver models, analytics, and insight frameworks for faster decision-making within Finance and G&A; teams
Lead forecasting, planning, and performance management efforts, embedding models in key operational cycles
Build solutions independently as part of a high-impact team
Mentor analysts and data scientists across G&A; to enhance AI and advanced analytics application
Collaborate with teams to create usable models and dashboards from complex data
Requirements
Strong SQL skills for extracting, wrangling, and analyzing large, complex datasets
Solid Python or R experience across the full data science workflow, from feature engineering to model deployment
Valuable grounding in statistical and machine learning techniques, including time-series forecasting, regression, classification, and causal inference
Comfortable with data visualisation tools like Tableau to communicate complex analysis to non-technical stakeholders
Strong problem-framing skills to translate ambiguous business questions into clear analytical problems




Experience partnering with Finance or a similar corporate function
Core Competencies
Demonstrates 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 keywords
SQL Data Extraction
Python Data Science Workflow
Statistical Analysis
Machine Learning Techniques
Data Visualization with Tableau
ATS Optimization Keywords
Hard Skills
SQL
Python
R
Statistical Techniques
Machine Learning
Time-Series Forecasting
Regression Analysis
Classification
Causal Inference
Feature Engineering
Soft Skills
Problem-Framing
Mentoring
Collaboration
Industry Keywords
Finance
G&A;
Data Science
Analytics
Performance Management
Tools & Technologies
Tableau
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📌 Senior Data Scientist, Finance (Melbourne)
🏢 Jobtailor
📍 Melbourne