The Senior Data Scientist, Digital Delivery will be responsible to provide advanced analytics, predictive modelling, and data-driven insights to support QF’s digital delivery initiatives. The role leverages statistical, machine learning, and AI techniques to inform decision-making, optimise operations, and enable innovation. The post holder will work closely with digital programme teams, business analysts, and solution architects to translate complex data into actionable intelligence, ensuring that QF’s digital services are measurable, evidence-based, and aligned with enterprise strategy.

Key Result Areas:

• Provide modelling, forecasting, and scenario analysis to inform digital delivery decisions.
• Design and deliver advanced analytics pipelines to support digital services and solutions.
• Apply machine learning and AI techniques to solve business challenges and improve service outcomes.
• Partner with digital programme teams, analysts, and architects to embed data science in solution delivery.
• Ensure data models and outputs are accurate, validated, and ethically applied.
• Share expertise in data science techniques and mentor colleagues on analytics best practice.
• Develop, train, and validate machine learning models to support digital transformation programmes.
• Build predictive models and dashboards to track adoption, performance, and impact of digital services.
• Translate business requirements into analytics solutions, ensuring outputs are practical and actionable.
• Support AI governance by documenting models, assumptions, and methodologies.
• Ensure compliance with QF data protection, information security, and AI governance frameworks.
• Provide thought leadership on emerging data science approaches, tools, and platforms.
• Collaborate with stakeholders to design data-driven solutions that align with QF’s strategic priorities.
• Other reasonable tasks as assigned by Supervisor

Minimum Knowledge, Skills & Experience:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or related discipline. Masters/PhD preferred.
• 8-10 years of relevant full-time work experience in data science or advanced analytics, with proven delivery of enterprise-level solutions, 3 of which at a supervisory level.
• Proficiency in statistical modelling, machine learning, natural language processing, and data visualisation. Skilled in tools such as Python, R, SQL, TensorFlow/PyTorch, and Power BI.
• Strong knowledge of data architecture, engineering pipelines, and cloud-based analytics platforms.
• Understanding of AI ethics, responsible AI, and compliance standards (e.g. ISO/IEC 42001).
• Ability to present complex insights in a clear, business-focused manner for senior stakeholders.
• Excellent oral and written communication skills with the ability to draft and edit a variety of written reports and communications and to articulate ideas clearly and concisely; Arabic proficiency is an advantage
• Proficiency in MS Office applications