Principal Data Scientist

RAKBANK

UAE remoteHybridFull TimeSeniorInformation Technology
Posted 4h ago

Why we think you can apply

Employer country
United Arab Emirates
Hiring model
UAE-based role · the employer hires in the UAE
Work from
The UAE · office and home
Time-zone overlap
Gulf Standard Time · none needed

Posted 4 hours ago · apply link checked 4 hours ago

About the role

Responsibilities

  • Lead the development and deployment of advanced machine learning solutions for personalized customer decisioning
  • Drive best-in-class modeling, MLOps, and data engineering practices
  • Build and deploy propensity models for cross-sell and upsell
  • Develop Next Best Action / Next Best Offer engines
  • Write production-grade ML pipelines and manage model versioning and experiment tracking
  • Set up model monitoring, drift detection, and alerting systems
  • Lead senior data scientists while remaining hands-on

Requirements

  • Bachelor's degree in Econometrics, Actuarial Science, Maths/Statistics, or Computer Science
  • 10 years of experience in a senior data scientist position
  • Expert-level coding in Python
  • Experience with distributed computing (Spark, Dask, Ray)
  • Proficiency with tools like Airflow, MLflow, or Kubeflow
  • Experience with cloud platforms (AWS/GCP/Azure) and data warehouses (Snowflake, BigQuery, Redshift)
  • Strong SQL skills

Preferred Qualifications

  • Familiarity with R or Scala
  • Experience with LLMs, embeddings, prompt engineering, and vector databases
  • Strong analytics experience in the banking sector

About the Company

RAKBANK is a leading financial institution in the UAE focused on driving innovation through advanced data science and machine learning.

What we look for

  • Bachelor's degree in Econometrics, Actuarial Science, Maths/Statistics, or Computer Science
  • Expert-level Python coding
  • Experience with distributed computing
  • Proficiency in production-grade ML pipelines
  • Cloud platform experience
  • Strong SQL skills
  • Experience with model deployment via APIs or streaming
PythonKafkaAWSSparkAzureGCPSnowflakeFlinkMLflowBigQueryAirflowVertex AIRedshiftKubeflowSageMaker
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