Data Science & Risk Analyst

AW Rostamani Group; United Arab Emirates; On-site; AED 300,000 - 480,000; Full time

Job summary

AW Rostamani Group in the UAE seeks a data science professional to drive RV forecasting, depreciation curves and risk analytics across fleet operations. You will develop predictive and generative AI models, leverage Python/SQL, and build dashboards using Power BI and Tableau to support pricing, remarketing and lifecycle decisions.

Collaborating with cross-functional teams, you will monitor market trends, ensure data integrity, and contribute to governance and compliance within the AI-enabled

Qualifications

• Bachelor's degree in quantitative field required.
• Progress toward CFA/FRM is an advantage.
• Certifications in analytics, ML, AI, or cloud platforms are a plus.

Responsibilities

• Support RV methodology across all business units.
• Prepare RV assumptions and depreciation curves for leasing and fleet operations.
• Forecast used-vehicle price index and depreciation using AI models.
• Develop predictive, prescriptive, and generative AI models for risk analytics.
• Build automated dashboards for RV tracking and fleet health.
• Ensure data integrity across fleet systems and pricing tools.
• Contribute to stress testing and scenario analysis.

Skills

Python

SQL

Power BI

Tableau

Machine Learning

TensorFlow

PyTorch

Git

Copilot

Claude

Education

Bachelor's degree in Statistics/Mathematics/Economics/Data Science/Computer Science

Progress towards CFA/FRM or equivalent

Certifications in data analytics / ML / cloud platforms

Tools

Databricks

Azure

AWS

GCP

Notebooks

Job description

• 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.

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.
• 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.
• 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)

Reduction in high-risk stock and ageing exposure

Data quality, dashboard reliability and reporting timeliness

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.

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.

About Us

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.

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.