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Real-Time Fraud Data Scientist — AI for Trust

Tamara

Dubai

On-site

AED 150,000 - 200,000

Full time

14 days ago

Job summary

A fintech company in UAE is seeking a Data Scientist to join their Fraud team. This role focuses on developing AI and machine learning models to enhance fraud detection and prevention for both consumers and merchants. The ideal candidate will have strong programming skills, a background in data science, and experience with real-time applications. Candidates should hold a degree in a quantitative field and have at least 3 years of relevant experience. Competitive compensation and dynamic work environment offered.

Qualifications

  • 3+ years of hands-on experience in a data science role specializing in fraud detection.
  • Experience in developing and deploying machine learning models for real-time applications.
  • Fluency in English is required.

Responsibilities

  • Design and deploy real-time fraud detection features and models.
  • Identify fraudulent patterns in large datasets using advanced techniques.
  • Collaborate with data engineers to maintain scalable data pipelines.
  • Work with fraud operations team to improve models based on emerging threats.
  • Communicate findings clearly to technical and non-technical stakeholders.

Skills

Python programming
Machine learning
Data analysis
Statistical techniques
SQL proficiency
Collaboration skills
Critical thinking

Education

Bachelor's or Master's in Computer Science, Statistics, Mathematics

Tools

Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Spark
Hadoop
AWS
GCP
Azure
Job description
A fintech company in UAE is seeking a Data Scientist to join their Fraud team. This role focuses on developing AI and machine learning models to enhance fraud detection and prevention for both consumers and merchants. The ideal candidate will have strong programming skills, a background in data science, and experience with real-time applications. Candidates should hold a degree in a quantitative field and have at least 3 years of relevant experience. Competitive compensation and dynamic work environment offered.
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