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Jr. Data Scientist

Unlock employer United Arab Emirates Under an hour ago · 30 Oct 2026

Financial

  • Estimate: $50k - $90k/yr*
  • Zero income tax location

Accessibility

  • Office Only
  • No Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

About the job

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Greetings,

We are currently hiring for an immediate opening for the position of Jr. Data Scientist in Abu Dhabi.

  • Location: Abu Dhabi
  • Experience: 5-8 Years
  • Employment Type: Full-time
  • Domain: Banking / Financial Services

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, or a related field (Master's preferred).
  • 5+ years of hands-on experience in Data Science, Machine Learning, Predictive Analytics, and AI solution development.

Experience:

  • Strong programming expertise in Python, including Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, and PyTorch.
  • Hands-on production experience with Dataiku for data preparation, feature engineering, model development, deployment, automation, and monitoring.
  • Experience with Azure Databricks, PySpark, MLflow, and large-scale distributed data processing.
  • Strong SQL skills with experience working on large-scale structured and unstructured datasets.
  • Deep understanding of Machine Learning, Statistical Modeling, Predictive Analytics, Data Mining, Feature Engineering, Model Validation, Hyperparameter Optimization, and Model Explainability.
  • Experience developing and deploying Regression, Classification, Clustering, Forecasting, Recommendation, Customer Segmentation, Risk, and Fraud Detection models.
  • Hands-on experience in NLP, Text Analytics, Sentiment Analysis, Generative AI.
  • Proven experience in deploying and managing machine learning models in production using MLflow, Databricks Model Serving, Azure ML.
  • Experience with MLOps practices, including CI/CD pipelines, model versioning, experiment tracking, model registry, automated retraining, model monitoring, drift detection, performance optimization, and model governance.
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