First Abu Dhabi Bank (FAB)

Data Scientist

First Abu Dhabi Bank (FAB)

Abu Dhabi, United Arab Emirates · Full Time

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Experience
5+ yrs
Salary
Openings
1
Posted
4 hours ago
Work mode
In office
Education
Bachelor’s degree in Computer Science, Engineering, or related field
Eligibility
Candidates with at least 5 years of relevant experience and a bachelor’s degree in Computer Science, Engineering, or a related field can apply.
Resume
Required to apply

Where you'll work

Job description

Role overview

First Abu Dhabi Bank is hiring a Data Scientist in Abu Dhabi for a full-time, on-site position. The role focuses on turning complex datasets into practical business solutions through advanced analytics and machine learning.

What you will do

  • Analyze very large and intricate datasets to address demanding business challenges.
  • Prepare data by collecting, cleaning, and transforming it for analysis and model training.
  • Run exploratory analysis to identify patterns, trends, and insights that guide model design.
  • Design, train, and fine-tune machine learning models using modern algorithms and frameworks.
  • Develop complete ML workflows covering ingestion, transformation, training, validation, and deployment.
  • Set up automated training, testing, and release processes with CI/CD and MLOps practices.
  • Work closely with cross-functional partners to embed models into applications and deliver end-to-end solutions.

Required background

  • At least 5 years of experience in data science, machine learning, or artificial intelligence.
  • Hands-on expertise in supervised and unsupervised learning, deep learning, NLP, computer vision, or generative AI such as LLMs.
  • Strong coding ability in Python and/or R, with SQL knowledge for querying data.
  • Experience creating data pipelines and working with large-scale tools such as Spark, Airflow, and Hadoop.
  • Understanding of model serving, API creation with FastAPI or Flask, and performance tuning for batch or real-time inference.
  • Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps platforms such as MLflow or Kubeflow.
  • Exposure to cloud deployment on AWS, Google Cloud, Azure, or similar services such as SageMaker or Vertex AI.
  • Bachelor’s degree in Computer Science, Engineering, or a related discipline is required.

Additional notes

No stipend or salary figure was provided in the source. No vacancy count, start date, or application deadline was specified.

No separate perks or eligibility note was included beyond the qualification requirements above.

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