Data Scientist_KAZ-DS-0109-S1

المسمى الوظيفي

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