Data Scientist_KAZ-DS-0109-S1

Sundus; Abu Dhabi; On-site; AED 150,000 - 210,000; Full time

Job summary

A recruitment firm in the United Arab Emirates seeks a skilled Data Scientist to leverage advanced analytics methods, manage fraud detection tools, and create data-driven insights. The ideal candidate will have SAS certification and a strong background in fraud prevention. Responsibilities include conducting research on machine learning techniques and presenting findings to senior management. Interested applicants should send their CV to the provided email, including the job code in the subject line.

Qualifications

• Proficient in advanced analytics methods with a focus on deriving insights from business data.
• Experience with fraud prevention and detection tools.
• Ability to analyze fraud trends and recommend actionable controls.

Responsibilities

• Use analytics to extract value from business data.
• Manage fraud prevention and detection rules.
• Create insightful dashboards and presentations for management.
• Conduct research on machine learning techniques.

Skills

Advanced analytics methods

Fraud detection tools

Data-driven modeling

Machine learning techniques

Data visualization tools

Education

SAS Certified Professional

Job description

Responsibilities

• 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 recommendations 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/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, re‑designing infrastructure for greater scalability, etc.
• Build analytics tools that 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 an SOP.
• Maintain relevant documentation to enable peers and other teams to benefit from data science use cases implemented.

Qualifications

SAS Certified Professional

How to Apply

Email your CV to [e-mail]. Applicants should send their updated CV, mentioning in the subject line: SUBJECT: Applied Position name - Job code (use the job code given in the JD).

JOB CODE: KAZ-DS-0109-S1