Job description
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.
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.
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).
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