Data Scientist

DISCOVERED; Abu Dhabi; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading financial institution in the United Arab Emirates is seeking experienced Data Scientists. This role involves designing scalable machine learning models and solutions to tackle complex business challenges. Candidates should have over 5 years of experience in data science and strong proficiency in Python or R. Responsibilities include handling large datasets, performing analyses, and collaborating with teams to deliver impactful AI solutions. If you're passionate about AI and data, apply now!

Qualifications

• 5+ years of experience in data science, machine learning, or AI.
• Strong knowledge of supervised and unsupervised learning.
• Experience building data pipelines and working with big data tools.

Responsibilities

• Design and develop scalable machine learning models.
• Collect, clean, and preprocess data for analysis.
• Build, train, and optimize machine learning models.

Skills

Data Science

Machine Learning

Python

R

SQL

Big Data Tools

NLP

Computer Vision

AI

Model Optimization

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

Docker

Kubernetes

CI/CD

AWS

Google Cloud

Azure

MLflow

Kubeflow

Job description

We’re hiring Data Scientists to join one of the world’s largest and most respected financial institutions! If you’re passionate about turning data into meaningful insights and building impactful AI solutions, we’d love to hear from you.

What you’ll be doing

In this role, you’ll design and develop scalable machine learning models and AI-driven solutions that tackle complex business challenges and support smarter decision-making.

Key Responsibilities

• Work with large, complex datasets to solve real-world business problems.
• Collect, clean, and preprocess data for analysis and model training.
• Perform exploratory data analysis (EDA) to uncover insights and guide model development.
• Build, train, and optimize machine learning models using modern algorithms and frameworks.
• Develop end-to-end ML pipelines, from data ingestion to model deployment.
• Automate model training, testing, and deployment using CI/CD and MLOps tools.
• Collaborate with cross-functional teams to integrate models into production systems and deliver complete solutions.

What we’re looking for

• 5+ years of experience in data science, machine learning, or AI.
• Strong knowledge of supervised and unsupervised learning, deep learning, and areas such as NLP, computer vision, or generative AI (including LLMs).
• Proficiency in Python and/or R, with working knowledge of SQL.
• Experience building data pipelines and working with big data tools (e.g. Spark, Airflow, Hadoop).
• Understanding of model serving, APIs (FastAPI, Flask), and optimizing models for real-time or batch inference.
• Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools such as MLflow or Kubeflow.
• Experience deploying models on cloud platforms like AWS, Google Cloud, or Azure (e.g. SageMaker, Vertex AI).
• Bachelor’s degree in Computer Science, Engineering, or a related field.

If this sounds like the right next step for you, apply now!