Data Science & Risk Analyst at AW Rostamani

AW Rostamani; Dubai; On-site; AED 150,000 - 230,000; Full time

Job summary

AW Rostamani Group is seeking a Data Science & Analytics professional to support RV forecasting, depreciation curves and portfolio risk analytics across multi-brand automotive businesses in the UAE.

You will apply ML techniques, leverage generative AI, and help build data pipelines and dashboards to drive actionable insights for pricing, remarketing and lifecycle economics.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Computer Science or a related quantitative field
• Progress towards CFA, FRM or equivalent qualification is an advantage
• Certifications in data analytics, machine learning, AI, cloud platforms (Azure, AWS, GCP) or RV-specific programs are a strong plus

Responsibilities

• Forecast RV depreciation curves, model assumptions and exposure across brands, models and fleet segments
• Develop and maintain predictive, prescriptive and generative AI models for RV forecasting and risk analytics
• Apply ML techniques (regression, time series, boosting, clustering) to improve forecasting accuracy
• Leverage generative AI tools to accelerate data exploration, model improvements, and reporting
• Contribute to data pipelines, feature engineering and MLOps under Data Science guidance
• Support model explainability and robustness testing to meet governance requirements
• Build automated dashboards for RV tracking, depreciation and fleet health using Power BI/Tableau
• Prepare monthly RV risk packs covering exposure, trends and mitigation actions
• Monitor data integrity across fleet systems, valuation tools and remarketing platforms
• Assess fleet risk via automated alerts and AI-based anomaly detection

Job description

Strategy & Forecasting 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 (eg, 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 (eg 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

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

Identify high-risk models, over-aged stock, low-demand trims and vulnerable powertrains through data-driven segmentation

Support the design of risk-reduction actions such as early disposal, remarketing strategy changes, re-allocation across business units and pricing adjustments

Assist in stress testing the impact of economic factors including interest rates, inflation, regulatory changes, import duties and currency movements using scenario simulation tools

Market & Competitor Analysis Track UAE used-car market trends, auction performance and brand competitiveness, API-based data feeds and AI-driven market intelligence tools

Benchmark internal RV performance against competitors, leasing companies, OEM forecasts and market indices

Monitor the impact of EV adoption, ADAS technologies, warranty changes and lifecycle cost trends

Cross-Brand & OEM Engagement Support engagement with OEMs across all automotive brands on RV data, buy-back agreements, warranties and lifecycle assumptions

Assist in evaluating OEM incentive programs and their effect on RV stability using data-driven impact analysis

Prepare analytical support for negotiations on guaranteed buybacks, fleet deals or high-volume orders

Pricing & Product Support Provide RV input into leasing, rental and subscription pricing tools and validate margin implications

Support commercial teams in defining optimal contract lengths, mileage bands and service packages, leveraging AI-driven pricing optimization techniques

Contribute to lifecycle cost modelling for new mobility products and business cases

Used-Car Operations & Disposal Strategy Partner with used-car operations to analyze remarketing performance and minimize RV losses

Support recommendations on disposal channels (retail, wholesale, auction, export) using data-driven channel-mix optimization

Monitor time-to-market, margin performance and stock ageing

Track and forecast write-downs on used-car inventory using AI-supported provisioning models

Governance, Compliance & Policies Support adherence to the RV risk governance framework, model governance standards, policies and control procedures

Assist in preparing documentation for internal audit, external audit and financial reporting requirements (impairment, provisioning)

Support model governance procedures for RV and AI/ML models, including version control, validation, monitoring and ethical AI considerations

Key Performance Indicators (KPIs)

RV forecast accuracy vs actual disposal outcomes Fleet depreciation variance monitoring Used-car margin performance Reduction in high-risk stock and ageing exposure Data quality, dashboard reliability and reporting timeliness Model performance metrics (accuracy, drift, back-test results) Contribution to pricing decisions and remarketing outcomes Effectiveness in leveraging AI tools to drive automation and productivity gains

Educational Qualification

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Computer Science or a related quantitative field Progress towards CFA, FRM or equivalent qualification is an advantage Certifications in data analytics, machine learning, AI, cloud platforms (Azure, AWS, GCP) or RV-specific programs are a strong plus

Work Experience

3-5 years of experience in data science, predictive modeling or financial risk analytics Exposure to residual value forecasting, portfolio risk monitoring, machine learning or asset valuation strongly preferred Hands-on experience deploying AI/ML models or automation workflows in a business setting is a plus Understanding of the UAE automotive market and regional used-car dynamics, with prior experience in multi-brand automotive groups, leasing companies, banks or captive finance preferred

Systems, Tools & Technical Skills

• Strong quantitative and analytical skills, including statistical analysis predictive modelling and financial modelling
• Proficiency in Python and SQL programming language is a must
• Familiarity with AI/ML frameworks (scikit-learn, TensorFlow, PyTorch) and cloud-based analytics platforms (GCP, Azure, AWS, Databricks) is highly desirable
• Understanding MLOps concepts, version control (Git), model monitoring, back-testing, and reproducibility is a plus
• Working knowledge of generative AI platforms and modern AI workflows, including Microsoft Copilot, OpenAI and Claude, with practical exposure to RAG, prompt engineering, agentic AI use cases, AI-assisted research, documentation automation and rapid prototyping
• Familiarity with BI and data-visualization tools such as Power BI, Tableau, and modern data-preparation platforms (Alteryx, Power Query, notebooks)
• Solid understanding of automotive lifecycle economics, depreciation dynamics and used-car market behavior
• Strong attention to detail, data integrity mindset and structured problem-solving skills
• Effective written and verbal communication skills, with the ability to translate analysis into actionable insight for both technical and business audiences

Competencies

• Analytical thinker with a risk-oriented mindset
• Strong attention to detail and data integrity focus
• Data-driven, AI-curious and tech-savvy, actively seeks to leverage new tools and technologies
• Collaborative across commercial, finance, operations and IT
• Ownership, accountability and delivery focus
• Continuous learning mindset in a rapidly evolving AI and analytics landscape

Languages

Good written and verbal communication skills in English

AW Rostamani Group is a leading multi-sector family business in the Middle East, driven by a legacy of over seven decades. Its operations span across a diverse range of sectors including automotive, real estate, retail, lighting solutions, travel, logistics, agritech and sustainable packaging, the Group serves over 155,000 customers and 24,000 businesses annually, supported by a diverse team of more than 3,000 employees. Guided by its purpose to enrich lives across generations, AW Rostamani Group is dedicated to building purposeful businesses that meaningfully impacts people, industries and the planet. By Championing innovation, sustainability, and progress, AW Rostamani Group leads transformative change - creating a future where opportunity and progress go hand in hand. Rooted in its rich legacy and guided by its values, AW Rostamani Group continues to lead with focus on the future, nurturing partnerships and delivering excellence across its operations. For more information, visit www.awrostamani.com .

AWR Automotive, a flagship vertical of AW Rostamani Group, has been shaping the future of transportation in the Middle East for over five decades. Previously known as Arabian Automobiles, the company represents leading global brands, including Nissan, INFINITI, and Renault, exclusively in Dubai and the Northern Emirates, while Zeekr, Chery, and Smart are offered across the UAE. Beyond vehicle sales and services, AWR Automotive is driving innovation with flexible mobility solutions through its homegrown brands like Shift and Subscribe Me. Rooted in AW Rostamani Group's legacy of excellence, AWR Automotive embodies the Group’s commitment to intelligent and sustainable mobility, continuously delivering value to over 155,000 customers annually. Together with its partners, the company pioneers electric mobility and sustainable solutions, fostering a smarter, greener future for the region. For more information, visit www.awrostamani.com .