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Data Scientist

Data Scientist at Digifloat — Abu Dhabi, United Arab Emirates. ### **Job Overview** We are seeking an experienced **Data Scientist** with a strong background in the **banking sector**, specifically in **credit risk analytics**. Th...

Job Full source details
Digifloat Abu Dhabi, Abu Dhabi, United Arab Emirates Source published Sep 3, 2026 Verified 2 weeks ago
✓ 100% verification score · Source: Digifloat Careers (Zohorecruit) · Always confirm final requirements on the original source.
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Overview

Data Scientist at Digifloat — Abu Dhabi, United Arab Emirates. ### **Job Overview** 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.

Full job description

Job Overview

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

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

Benefits

Visa Sponsorship

Health Insurance

Annual Air Ticket

Gratuity

20 Paid Leaves Annually

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