Senior Data Scientist

Only Apply If

• **You're an immediate Joiner**
• **And are based in KSA / Riyadh (are a citizen)**
• **Or have a transferrable Iqama**

CONTRACT DURATION: 3 Months (Possibility of Extension)

Role Overview

Advanced Analytics & Modeling

• Develop statistical, predictive, and machine learning models to solve business problems across banking functions.
• Build forecasting, segmentation, optimization, and simulation models to support strategic decision-making.
• Conduct scenario analysis, stress testing, and Monte Carlo simulations where appropriate.
• Establish best practices for experimentation, model validation, deployment, and performance monitoring.
• Translate complex analytical findings into actionable business recommendations.

Business Partnership & Decision Support

• Collaborate with product, risk, finance, operations, and strategy teams to identify opportunities for data-driven improvements.
• Deliver insights that improve profitability, customer experience, operational efficiency, and business performance.
• Support executive stakeholders with data-backed recommendations and performance analysis.
• Work alongside pricing and business specialists to provide analytical support for strategic initiatives.

Data Infrastructure & Governance

• Define and enhance data pipelines across core banking systems, CRM platforms, and enterprise data warehouses.
• Ensure compliance with data governance, security, and regulatory requirements.
• Partner with engineering teams to operationalize analytical models and embed them into production environments.
• Promote data quality, transparency, and reproducibility across analytical workflows.

Market & Customer Analytics

• Analyze customer behavior, product performance, and market trends.
• Monitor macroeconomic and industry indicators impacting banking performance.
• Identify emerging opportunities through advanced analytics and predictive modeling.

Required Qualifications

• Master's or PhD in Data Science, Statistics, Economics, Mathematics, Computer Science, or a related quantitative discipline.
• 8–20 years of experience in Data Science, Advanced Analytics, or Quantitative Modeling.
• Strong expertise in:
• Regression, Bayesian modeling, machine learning, clustering, survival analysis, and time-series forecasting.
• Optimization techniques including linear, quadratic, dynamic, and stochastic programming.
• Simulation methodologies, Monte Carlo analysis, and scenario modeling.
• Python, R, TensorFlow, PyTorch, and modern machine learning frameworks.
• SQL and cloud-based data platforms such as Snowflake, BigQuery, Azure Synapse, or similar technologies.
• Proven ability to deliver measurable business impact through data science initiatives.
• Strong communication and stakeholder management skills with the ability to present findings to senior leadership.
• Ability to work independently and execute effectively in a fast-moving, high-performance environment.

Preferred Skills

• Experience within banking, financial services, fintech, or related industries.
• Exposure to pricing analytics, revenue optimization, or profitability analysis.
• Familiarity with Middle East banking markets and regulatory environments.
• Experience with BI and visualization tools such as Power BI, Tableau, or QlikSense.
• Knowledge of cloud-native analytics and MLOps practices.