
Aldar
Senior Associate β Data Scientist
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 5 - 10 yrs
Job expiry date: 29/05/2026
Job overview
Date posted
14/04/2026
Location
Abu Dhabi, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Comprehensive package
Job description
The Senior Associate β Data Scientist role at Aldar Corporate within the Group Digital Futures function is responsible for designing, building, and productionizing advanced analytics and AI solutions that deliver measurable business value. The role focuses on translating complex business challenges into structured data science problems by defining hypotheses, success metrics, and validation methodologies. It involves working with structured and unstructured datasets using Python and SQL to prepare high-quality data for machine learning model development. The role includes designing, training, evaluating, and optimizing machine learning models using techniques such as regression, classification, clustering, NLP, and forecasting. The candidate will collaborate closely with engineering, platform, and data teams to deploy models into production using CI/CD pipelines and scalable ML frameworks. The role also requires implementing model explainability techniques such as SHAP and LIME to ensure transparency, fairness, and interpretability. Additionally, the Senior Associate supports AI governance and Model Risk Management (MRM) processes to ensure compliance and responsible AI usage. The position includes conducting A/B testing and controlled experiments to validate model performance and business impact. The role involves continuous monitoring of deployed models, ensuring relevance and alignment with business objectives, and working with stakeholders to translate insights into actionable decisions. Strong communication skills are required to present technical findings to both technical and non-technical audiences in a clear and impactful manner.
Required skills
Key responsibilities
- Translate business problems into data science projects with defined hypotheses and success metrics
- Explore, clean, and transform structured and unstructured data using Python and SQL
- Design, train, and evaluate machine learning models including regression, classification, clustering, NLP, and forecasting
- Collaborate with engineering teams to productionize AI models using CI/CD pipelines
- Apply model explainability techniques such as SHAP and LIME to ensure transparency
- Support AI governance and Model Risk Management (MRM) processes
- Conduct A/B testing and controlled experiments to evaluate model performance
- Monitor deployed models and ensure ongoing relevance and performance
- Work with Data Product Owners to align models with business outcomes
- Communicate analytical findings through visualization and storytelling
Experience & skills
- 5+ years of experience in data science or applied machine learning
- Bachelorβs degree in a quantitative field such as Computer Science, Data Science, Mathematics, or Engineering
- Experience in deploying machine learning models into production environments
- Strong programming skills in Python and SQL
- Experience with ML frameworks such as scikit-learn, XGBoost, LightGBM
- Experience with Databricks or similar platforms
- Knowledge of deep learning frameworks such as PyTorch or TensorFlow
- Experience with MLOps tools such as MLflow, Airflow, Docker, Kubernetes
- Understanding of AI governance and Model Risk Management (MRM)
- Experience working in agile cross-functional teams
- Strong communication and stakeholder management skills