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Principal Data Scientist

Job in Dubai, Dubai, UAE/Dubai
Listing for: RAKBANK
Full Time position
Listed on 2025-12-14
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 300000 - 400000 AED Yearly AED 300000.00 400000.00 YEAR
Job Description & How to Apply Below

Company Description

At RAKBANK, we are committed to nurturing a culture of innovation, growth, and excellence. We go beyond being a bank — we are a thriving community fueled by teamwork, advanced solutions, and unwavering standards of governance.

Join us and be a part of shaping the future of RAKBANK!

Job Description Modeling Expertise
  • Advanced experience in building and deploying propensity models for cross-sell and upsell.
  • Deep understanding of Next Best Action / Next Best Offer engines.
  • Strong grasp of supervised learning, uplift modeling, and causal inference.
Programming & Engineering
  • Expert-level coding in Python (mandatory); familiarity with R or Scala is a plus.
  • Experience with distributed computing (Spark, Dask, Ray).
  • Proficient in writing production-grade ML pipelines using tools like Airflow, MLflow, or Kubeflow.
  • Strong understanding of software engineering best practices: version control, CI/CD, testing.
Data Infrastructure
  • Experience with cloud platforms (AWS/GCP/Azure) and data warehouses (Snowflake, Big Query, Redshift).
  • Strong SQL skills; ability to optimize queries and manage large datasets.
MLOps & Deployment
  • Experience deploying models to production via APIs or streaming systems (Kafka, Flink).
  • Proficient in model versioning, experiment tracking, and deployment using MLflow, Sage Maker, or Vertex AI.
Monitoring & Observability
  • Ability to set up model monitoring, drift detection, and alerting systems using Prometheus, Grafana, Evidently, or custom dashboards.
  • Experience with logging frameworks and performance profiling for ML services.
GenAI (Preferred)
  • Experience with LLMs, embeddings, prompt engineering, and vector databases (e.g., FAISS, Pinecone).
  • Ability to integrate GenAI into decisioning systems or customer-facing products.
Leadership & Collaboration
  • Ability to lead senior data scientists while remaining hands‑on.
  • Comfortable working with product managers, engineers, and business stakeholders.
Qualifications
  • Bachelor’s degree in a relevant field including Econometrics, Actuarial Science, Maths/Statistics, Computer Science etc.
  • Strong analytics experience in the bank sector is an advantage.
  • 10 years experience in a senior data scientist position.
  • Modelling experience including knowledge of Cloud, ML and GenAI.
Additional Information What’s In It for You
  • Pay for performance culture (Competitive and performance-linked compensation)
  • Diverse workforce and inclusive culture
  • Career development and growth opportunities by design
  • Work with the best minds in the field
  • Get opportunities to bring your whole self to the organization and perform to your best.
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