Machine Learning Engineer jobs in United Arab Emirates

About Wynn Al Marjan Island:

On schedule to open in the United Arab Emirates in early 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.

Wynn Al Marjan Island is currently seeking a Data Analyst to join the resort’s Surveillance team.

The primary duties and responsibilities of this role are:

• Monitor and analyze real‑time and historical point‑of‑sale and gaming transaction data for anomalies and suspicious patterns indicative of fraudulent behavior, collusion, or policy violations.
• Develop and maintain statistical models, machine learning algorithms, and business intelligence dashboards designed to flag high‑risk transactions in the casino and at various point‑of‑sale terminals. This includes table games, slots, restaurants, bars, retail, hotel registration and ticketing areas.
• Compile comprehensive reports and visualizations that clearly communicate findings, trends, and recommendations to casino leadership, legal counsel, and external regulators.
• Partner closely with IT, accounting, security, and gaming operations to best understand operations evolving fraud risks to implement the most effective data sets and tools.
• Stay current on emerging fraud schemes, advances in analytic technology, and casino industry best practices. Proactively propose enhancements to tools, processes, and team knowledge.
• Assist in training Surveillance operations to recognize and appropriately elevate suspicious activities. Provide data‑driven feedback on common errors or vulnerabilities observed.
• Respond to queries from surveillance and security regarding specific suspicious events recorded on the casino floor.
• Run scheduled and ad hoc analyses of POS transactions, focusing on high‑value, high‑frequency, or unusual activities.
• Meet with gaming operations to discuss new games, promotions, or changes to POS workflow that may introduce additional risk.
• Document investigative steps and outcomes for compliance and audit purposes.
• Participate in weekly cross‑functional risk meetings to address open investigations and share insights on fraud trends.
• Participate in the design, testing, and implementation of new analytics tools and fraud prevention techniques.
• Stay current with emerging threats and technologies in the gaming industry. Continuously refine analytical methods and processes.
• Adhere to company policies and procedures and comply with the Code of Conduct.

The ideal candidate for this position will have the following experience and qualifications:

• Strong proficiency in SQL, Python, R, or other relevant data mining and statistical analysis tools. Experience with machine learning libraries and data visualization platforms such as Tableau or Power BI is required.
• Exceptional analytical and problem‑solving skills, with the ability to synthesize complex data sets and distil actionable insights under time‑sensitive conditions.
• Keen attention to detail, high ethical standards, and a strong sense of personal accountability.
• Previous experience investigating gaming and point of sale irregularities in a casino or similar environment is highly desirable.
• Exceptional observational skills and the capacity to identify subtle patterns, inconsistencies, or red flags within large datasets.
• Strong written and verbal communication skills. Ability to professionally read, write and speak English. Ability to present complex findings clearly to both technical and non‑technical stakeholders.
• High standards of personal integrity, confidentiality, and professionalism.
• Collaborative approach to problem‑solving and the ability to work effectively with individuals from diverse backgrounds.
• Willingness and ability to learn new technologies, research techniques, and regulatory practices as the industry evolves.
• Sound understanding of casino mathematics.
• Follow instructions and be able to work independently as well as perform in a team environment.
• Strong computer skills with knowledge of Windows and Microsoft Office.
• 2+ years of professional experience as a data analyst, fraud analyst, or similar analytical role, preferably within gaming, hospitality, financial services, or retail sectors.
• Bachelor’s degree in data science, Statistics, Mathematics, Business Analytics, or a related field.
• Prior experience in a casino or gaming environment, with exposure to the unique challenges of fraud detection in high‑volume cash and digital transaction settings is preferred. Extensive experience working as a data analyst in the casino environment may be substituted for education requirements.
• Advanced degrees or relevant certifications are a plus.
• Minimum age 21.
• Majority of work will be done in an office environment. Occasionally this role will be required to work in public areas of the resort or outdoors.
• Ability to stand or sit for an entire shift.

We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package and as well as life insurance, incentive programs, and other employee benefits. The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.