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Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
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
Desired Candidate Profile
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
Company Industry
- Defence
- Military
- Government
Department / Functional Area
- IT Software
Keywords
- Senior Data Scientist
- Digital Delivery
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https://fa-eolw-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/2824
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