Design Researcher jobs in United Arab Emirates

Contribute to the development of reusable frameworks and accelerators to optimise delivery methodologies for data science teams

• Design and build machine learning models aligned to core personal banking priorities
• Identify commercially viable use cases in collaboration with product marketing and business stakeholders
• Drive the development of analytics products that are scalable, measurable and operationally robust

• Build, test and deploy machine learning models into production environments
• Ensure models are aligned with Model Risk Management standards and delivery governance
• Monitor model performance and lead retraining or recalibration processes as needed

• Implement production-ready model pipelines using CI/CD tooling and automated monitoring
• Ensure continuity of performance and data integrity throughout the lifecycle

• Lead the extraction and transformation of raw data into high-quality features
• Conduct deep EDA to identify trends, correlations and value‑driving insights
• Understand and navigate complex banking datasets including transactional behavioural and product data

• Present modelling outcomes and insights to senior non‑technical stakeholders with clarity and precision
• Translate business opportunities into concrete data science initiatives
• Provide clear recommendations and options based on data‑driven insights

• Develop and prototype new modelling techniques and innovative data products with a commercial lens
• Prioritise delivery and measurable value over theoretical perfection

• 5 years of applied data science experience in a banking environment
• Proven track record of deploying production‑grade models with ongoing performance management
• Strong hands‑on skills in SQL, Python and ML libraries (e.g. scikit‑learn, XGBoost)
• Demonstrated experience in feature engineering and large‑scale data handling
• Familiarity with MLOps pipelines and tooling for monitoring and automation
• Strong commercial acumen and ability to scope and deliver high‑impact use cases
• Excellent presentation communication and stakeholder engagement skills
• Deep understanding of model governance standards and regulatory expectations

• Experience with platforms such as Dataiku and Databricks is a significant bonus
• Strong Retail banking domain knowledge
• Proven experience with statistical modelling mastery
• Bachelors or Masters degree in a quantitative field (e.g. Computer Science, Statistics, Engineering)

Experience working in cloud environments (Azure, AWS or GCP)

No

Full‑time