Specialist / Data Scientist

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

Job summary

A leading financial institution in the UAE is seeking a Data Scientist. This role involves modeling complex problems, leveraging analytics for business insights, and utilizing advanced statistical techniques. Candidates should have a Bachelor's degree in a relevant field and a minimum of 2 years of experience in analytics. Strong skills in SAS and Python are essential for success in this collaborative environment. Join the team and contribute to shaping innovative banking solutions.

Benefits

Career development initiatives

Innovative working environment

Comprehensive personal and private banking services

Qualifications

• Minimum 2 years of experience in a large Analytics or BI function in financial services.
• Experience with a variety of analytical processes.
• Excellent written and verbal communication skills.

Responsibilities

• Work closely with business segments to leverage analytics for insights.
• Apply advanced statistical and predictive modelling techniques.
• Identify relevant data sources for analytics opportunities.
• Develop innovative approaches to solve business problems using Analytics.
• Provide ongoing tracking and monitoring of performance.

Skills

SAS (Base SAS, EMiner, EG)

Python

Databricks and Dataiku platform knowledge

Statistical modelling

Machine Learning and AI

Deep learning frameworks (Tensorflow/PyTorch/Maxnet)

Education

Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research or related fields

Additional degree or certifications related to data science/Analytics

Job description

Data Scientist role is responsible for modelling complex Institutional problems, discovering business insights and identifying opportunities using statistical, algorithmic, mining and visualization techniques. In addition to advanced analytic skills, this also required to be proficient at integrating and preparing large, varied datasets, architecting specialized database and computing environments. They will need to validate their findings using an experimental and iterative approach. Also, Data Scientist will need to be able to present back their findings to the business by exposing their assumptions and validation work in a way that can be easily understood by their business counterparts.

Responsibilities

Work closely with business segments within PBG so that they can leverage the power of analytics capabilities and turn analytic insights recommendations to support acquisition, cross-sell, up-sell, retention and win back

Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems,Designs experiments, and test business hypotheses.

Identify what data is available and relevant in the bank for analytics opportunities, including internal and external data sources, leveraging new data collection processes such as geo-location data, unstructured data sources such emails, log files, social media etc.

Develop innovative and effective approaches to solve business problems using Analytics and communicate results and methodologies.

Utilize patterns and variationsin the volume, speed and other characteristics of data supporting the initiative, the type of data ( e.g. Images , text, clickstream ormetering data) in predictive analysis.

Provide on-going tracking and monitoring of performance of decision systems and statistical models built by the data science unit.

Technical Skills

SAS (Base SAS,EMiner ,EG)

Python

Databricks and Dataiku platform knowledge is a plus

Statistical modelling, Machine Learning and AI(Pattern recognition, Natural language processing)

Deep learning frameworks (Tensorflow/pytorch/Maxnet)

Qualifications

Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields.

Additional degree or certifications in the field related to the data science/Analytics is preferred.

Minimum 2 years of experience in a large Analytics or BI function in a financial services organization with relevant quantitative and qualitative research and analytics experience

Experience and an understanding of a wide variety of analytical processes.

Excellent written and verbal communication skills.

About Us

About Us:

First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients.

Life at FAB:

Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to "Grow Stronger." We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization

FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development.

Our Values:

At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication.

Join our team and be part of a journey to shape the future of banking.

Job Info

• Job Identification 966
• Job Category Specialist - Business Management
• Posting Date 02/04/2026, 07:55 AM
• Apply Before 02/28/2026, 12:00 AM
• Job Schedule Full time