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As a Data Scientist, you will develop and apply statistical models, machine learning algorithms, and data-driven strategies aimed at optimizing key business functions. Your responsibilities will involve predictive modeling for credit risk, fraud detection systems, investment analytics, and customer segmentation. Your work will directly influence business decisions and improve financial outcomes through data-driven insights.
Key Responsibilities:
- Develop and implement machine learning models and statistical analyses for risk assessment, fraud detection, and customer behavior analysis.
- Design and maintain scalable data pipelines to process and analyze large-scale financial datasets.
- Collaborate with cross-functional teams to translate complex data into actionable insights for strategic decision-making.
- Enhance predictive models for market trend analysis, investment optimization, and financial forecasting.
- Ensure models adhere to regulatory requirements and industry best practices.
- Research and apply advanced analytics techniques to drive innovation in financial services.
About You:
- Proven experience as a Data Scientist in financial services or a related industry.
- Strong proficiency in Python, R, SQL, and data visualization tools.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Expertise in statistical modeling, time-series analysis, and predictive analytics.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and big data technologies.
Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates (On-site)
Work Conditions: Full-time, On-site
Salary: AED 38K/month - AED 40K/month
Language Requirements: Not specified.
