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Discover the Opportunity

We’re partnering with a leading financial services organisation in Abu Dhabi that is investing heavily in data science, machine learning, and AI to drive transformation across its core business functions.

This is a senior leadership role focused on delivering high-impact data science initiatives across areas such as customer analytics, risk, credit, and operations. You will play a key role in translating complex business challenges into scalable data science solutions, driving measurable outcomes across a highly regulated environment.

This opportunity combines strategic ownership with hands-on technical leadership, enabling you to shape both the data science roadmap and the deployment of production-grade AI solutions.

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Discover the Responsibilities

• Lead the design, development, and deployment of advanced data science and machine learning models to drive business outcomes across multiple domains.

• Apply a range of techniques including supervised, unsupervised, and time-series modelling to solve complex business problems using structured and semi-structured data.

• Own the end-to-end data science lifecycle, including feature engineering, model development, validation, benchmarking, and deployment.

• Conduct experimentation using A/B testing, statistical analysis, and hypothesis testing to measure model performance and business impact.

• Collaborate closely with engineering and technology teams to ensure models are production-ready and integrated through CI/CD pipelines.

• Monitor model performance, data drift, and stability, ensuring ongoing reliability, fairness, and compliance with regulatory requirements.

• Engage with stakeholders across the business to identify opportunities and embed data-driven decision-making into core processes.

• Lead and mentor data science teams, driving delivery standards, capability development, and best practices.

• Drive adoption of data science solutions through structured change management, stakeholder engagement, and communication.

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Discover the Requirements:

• 9+ years of experience in data science, machine learning, or advanced analytics roles.

• Strong experience applying AI/ML techniques within complex, data-driven environments, ideally within financial services.

• Proven experience leading teams and delivering production-grade data science solutions in regulated environments.

• Strong hands-on expertise in Python, statistical modelling, and machine learning techniques.

• Experience with Generative AI, LLMs, and MLOps frameworks.

• Experience building and deploying models on cloud platforms such as AWS or Azure.

• Strong understanding of experimentation, model validation, and performance monitoring.

• Experience working in cross-functional teams and collaborating with business and technology stakeholders.

• Bachelor’s degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related field (Master’s preferred).

Apply Now!