Data Science & Risk Analyst

• Support execution of the RV methodology and governance framework across all business units.
• Prepare RV assumptions and depreciation curves for leasing, subscription, buy-back agreements, manufacturer programs and fleet operations.
• Forecast used vehicle price index & depreciation using internal and external data sources, AI-driven models and UAE market intelligence.
• Analyze RV exposure by brand, model, fuel type (ICE / Hybrid / EV) and fleet segment.
• Prepare RV scenario analysis (base, optimistic, downside) leveraging simulation and AI-based scenario tools.

Data Science, AI & Advanced Analytics & Reporting

• Support the development, calibration and maintenance of predictive, prescriptive and generative AI models for RV forecasting, depreciation curves, portfolio risk analytics and predictive maintenance.
• Apply machine learning techniques (regression, gradient boosting, time series, clustering) to improve RV forecasting accuracy.
• Leverage generative AI and LLM-based tools (e.g., Microsoft Copilot, Claude) to accelerate data exploration, model improvements, documentation, report drafting and market intelligence synthesis.
• Contribute to data pipelines, feature engineering, data validation, model back-testing and MLOps workflows under the guidance of the Data Science team.
• Support model explainability (e.g. feature importance, SHAP, counterfactual analysis, Bayesian Inference, etc.) and robustness testing to meet governance requirements.
• Build and maintain automated dashboards for RV tracking, depreciation curve analysis and fleet health reporting using modern BI tools (Power BI, Tableau).
• Prepare monthly RV risk packs covering exposure, trends, variances and mitigation actions.
• Ensure data integrity across fleet management systems, valuation tools and remarketing platforms.

• Monitor total fleet exposure (leasing, rental, subscription) against approved risk thresholds using automated alerts and AI-based anomaly detection.