Data Scientist_KAZ-DS-0109-S1

IT & Technology
United Arab Emirates
April 13, 2026
Full Time

Job Overview

Job Description

411_3455865

Responsibilities and Qualifications

  • Use advanced analytics methods to extract value from business data.
  • Manage the fraud prevention and detection rules in all fraud tools including but not limited to Fraud Guard, EFMS, SAS VI, SAS VA, VRM & FRM.
  • Analyze fraud trends on a periodic basis and provide recommendation to FRM management to implement new fraud prevention & detection controls.
  • Create periodic dashboards and presentations for senior management.
  • Perform large-scale experimentation and build data-driven models to answer business questions.
  • Conduct research on cutting-edge techniques and tools in machine learning, deep learning, and artificial intelligence.
  • Determine requirements that will be used to train and evolve deep learning models and algorithms.
  • Articulate a vision and roadmap for the exploitation of data as a valued corporate asset.
  • Influence FRM teams through presentation of data-based recommendations.
  • Evangelize best practices to analytics and FRM teams.
  • Assemble large, complex data sets that meet functional and non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing analytics delivery, redesigning infrastructure for greater scalability, etc.
  • Build analytics tools that utilize the data to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Work with stakeholders including the FRM and FMU teams to assist with analytics related technical issues and support their data infrastructure needs.
  • Work with data and analytics experts to strive for greater functionality of data systems.
  • Ensure that all data science related work meets data security requirements.
  • Ensure all processes of the analytics section of FRM are documented and maintained as a SOP.
  • Maintain relevant documentation to enable peers and other teams to benefit from data science use cases implemented.
  • SAS Certified Professional

Email your CV to:

Applicants need to send their updated CV, mentioning in the Subject line as: SUBJECT: Applied Position name – Job code (use the job code given in the JD)

JOB CODE: KAZ-DS-0109-S1

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2026-04-05 11:48:25

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