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Data Scientist

Job in Abu Dhabi, UAE/Dubai
Listing for: Digifloat
Full Time position
Listed on 2026-05-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 200000 - 300000 AED Yearly AED 200000.00 300000.00 YEAR
Job Description & How to Apply Below

Abu Dhabi, United Arab Emirates | Posted on 05/06/2026

We are seeking an experienced Data Scientist with a strong background in the banking sector
, specifically in credit risk analytics
. The ideal candidate will have solid hands-on experience working on credit-related use cases and possess deep expertise in data science techniques and model development.

Key Responsibilities
  • Develop and implement credit risk models to support lending and risk decision-making
  • Work on projects related to credit scoring, scorecards, underwriting, and loan analytics
  • Analyze large datasets to derive actionable insights and improve risk strategies
  • Build, validate, and monitor predictive models for risk assessment and portfolio management
  • Collaborate with business, risk, and technology teams to translate requirements into data-driven solutions
  • Ensure model accuracy, performance, and compliance with banking standards and regulations
Requirements
Required Skills & Experience
  • 6–8 years of experience in Data Science, preferably within the banking/financial services industry
  • Strong hands-on experience in credit risk, loans, scoring platforms, or underwriting models
  • Expertise in statistical modeling, machine learning, and predictive analytics
  • Proficiency in tools such as Python, R, SQL
    , and data visualization tools
  • Experience in developing scorecards and risk models is highly preferred
  • Strong analytical thinking and problem-solving skills
Preferred Qualifications
  • Prior experience working with banks or financial institutions
  • Familiarity with regulatory requirements in credit risk modeling
  • Excellent communication skills and ability to work with cross-functional teams
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