Senior Data Scientist, Finance

• 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
• Good 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