Data Scientist

Reposted 8 Days Ago
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Abu Dhabi
In-Office
Senior level
Financial Services
The Role
The Data Scientist will design scalable machine learning models, perform data analysis, and build ML pipelines while collaborating with teams to integrate solutions.
Summary Generated by Built In
Company Description

Join the UAE’s largest bank and one of the world’s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting & dynamic industry. 

Job Description

ROLE PROFILE:

Designs and develops scalable machine learning models and AI-driven solutions to address complex business challenges and enhance decision-making processes

KEY RESPONSIBILITIES :

Work with large and complex data sets to solve challenging business problems

Collect, clean, and preprocess large datasets for analysis & model training

Perform exploratory data analysis (EDA) to uncover insights and inform model development

Develop, train, and optimize machine learning models using state-of-the-art algorithms and frameworks

Build end-to-end ML pipelines, including data ingestion, transformation, model training, validation, and deployment

Automate workflows for model training, testing, and deployment using CI/CD pipelines and MLOps tools

Collaborate with cross-functional teams to integrate models into applications and deliver end-to-end solutions

Qualifications

5+ years of experience in data science, machine learning, or AI

Expertise in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).

•Strong proficiency in Python and/or R; familiarity with SQL for data querying

•Ability to build data pipelines (Spark, Airflow, Hadoop) and work with big data tools

Understanding of model serving, API development (FastAPI, Flask), and optimizing model performance for real-time or batch inference.

Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like MLflow/Kubeflow for model lifecycle management (MLOps)

Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g., Sagemaker, Vertex AI)

•Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required

Top Skills

Airflow
AWS
Azure
Docker
Fastapi
Flask
GCP
Hadoop
Kubeflow
Kubernetes
Mlflow
Python
R
Spark
SQL
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The Company
Abu Dhabi
15,631 Employees

What We Do

FAB, the UAE’s largest bank and one of the world’s largest financial institutions offers a an extensive range of tailor-made solutions, and products and services, to provide a customised banking experience. Through its strategic offerings, it looks to meet the banking needs of customers across the world via its market-leading Corporate and Investment Banking and Personal Banking franchises.

Headquartered in Abu Dhabi, in Khalifa Business Park, the bank’s international network spans over 19 countries, across the world, providing the global relationships, expertise and financial strength to support local, regional and international businesses seeking to do business at home and abroad. In line with its commitment to put customers first, to Grow Stronger, FAB will continually invest in people and technology to create the most customer-friendly banking experience and will support the growth ambitions of its stakeholders across the global network in which the bank operates.

To empower its customers and clients to Grow Stronger, FAB is initiating a powerful movement, which goes beyond banking. The Grow Stronger movement represents the bank’s promise to support its stakeholders’ goals and growth ambitions, providing ideas, tools and expertise to help them become stronger, today and in the future. Through a strong, diversified balance sheet, leading efficiency and a solid corporate governance structure in place, FAB is set to drive growth forward.

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