Data Scientist

Digifloat; Abu Dhabi; On-site; AED 223,200 - 334,800; Full time

Job summary

Digifloat is looking for an experienced Data Scientist in Abu Dhabi, specializing in credit risk analytics within the banking sector. The ideal candidate will leverage their 6–8 years of experience to develop and implement credit risk models, analyze data, and work with cross-functional teams to optimize risk strategies. Proficiency in Python, R, SQL, and hands-on knowledge of credit-related use cases are essential. Applicants should be ready to ensure model accuracy and compliance with banking standards.

Qualifications

• 6–8 years of experience in Data Science, preferably in banking.
• Hands-on experience in credit risk, loans, scoring, or underwriting models.
• Expertise in statistical modeling, machine learning, and predictive analytics.

Responsibilities

• Develop and implement credit risk models for lending and risk decision-making.
• Analyze large datasets to derive actionable insights.
• Collaborate with teams to translate requirements into data-driven solutions.

Skills

Credit risk analytics

Statistical modeling

Machine learning

Predictive analytics

Analytical thinking

Problem-solving

Tools

Python

R

SQL

Data visualization tools

Job description

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