Senior Data Scientist, Finance

Job Description

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• Design and deliver models, analytics, and insight frameworks for faster decision-making within Finance and G&A teams
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• Lead forecasting, planning, and performance management efforts, embedding models in key operational cycles
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• Build solutions independently as part of a high-impact team
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• Mentor analysts and data scientists across G&A to enhance AI and advanced analytics application
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• Collaborate with teams to create usable models and dashboards from complex data
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Requirements\n

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• Strong SQL skills for extracting, wrangling, and analyzing large, complex datasets
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• Solid Python or R experience across the full data science workflow, from feature engineering to model deployment
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• Good grounding in statistical and machine learning techniques, including time-series forecasting, regression, classification, and causal inference
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• Comfortable with data visualisation tools like Tableau to communicate complex analysis to non-technical stakeholders
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• Strong problem-framing skills to translate ambiguous business questions into clear analytical problems
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• Experience partnering with Finance or a similar corporate function
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Core Competencies\n

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\n

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• SQL Data Extraction
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• Python Data Science Workflow
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• Statistical Analysis
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• Machine Learning Techniques
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• Data Visualization with Tableau
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ATS Optimization KeywordsHard Skills\n

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• SQL
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• Python
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• R
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• Statistical Techniques
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• Machine Learning
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• Time-Series Forecasting
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• Regression Analysis
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• Classification
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• Causal Inference
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• Feature Engineering
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Soft Skills\n

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• Problem-Framing
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• Mentoring
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• Collaboration
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Industry Keywords\n

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• Finance
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• G&A
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• Data Science
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• Analytics
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• Performance Management
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Tools & Technologies\n

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• Tableau
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