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Data Scientist

Digifloat Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

May 06
data-scientist Senior (5-10 yrs) Full-time Visa sponsorship United Arab Emirates
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About the role

Develop, validate, and monitor credit risk models and scorecards for lending, underwriting, credit scoring, and portfolio management. Analyze large datasets and collaborate with business, risk, and technology teams to deliver compliant, data-driven risk solutions.

What they look for

Credit Risk Analytics Credit Risk Modeling Credit Scoring Scorecard Development Underwriting Models Loan Analytics Statistical Modeling Machine Learning Predictive Analytics Python R SQL Data Visualization Model Validation Portfolio Management Risk Assessment

Requirements

Requires 6–8 years of data science experience, preferably in banking or financial services, with hands-on experience in credit risk, loans, scoring platforms, or underwriting models. Candidates should be proficient in statistical modeling, machine learning, predictive analytics, Python, R, SQL, and data visualization; experience developing scorecards and risk models is highly preferred.

Benefits

Visa Sponsorship Health Insurance Annual Air Ticket Gratuity 20 Paid Leaves Annually

Full 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

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

Benefits

Visa Sponsorship

Health Insurance

Annual Air Ticket

Gratuity

20 Paid Leaves Annually

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