
Microsoft Gulf
Senior Data Scientist â Engineering & Architecture Group
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 2 - 5 yrs
- Urgent
Job expiry date: 14/05/2026
Job overview
Date posted
30/03/2026
Location
Abu Dhabi, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Comprehensive package
Experience
2 - 5 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
14/05/2026
Job description
Microsoftâs Engineering & Architecture Group (EAG) is seeking a Senior Data Scientist to deliver advanced AI and machine learning solutions for enterprise customers. The role combines technical expertise, business insight, and Responsible AI practices to design, develop, and integrate scalable data science solutions that improve business performance. The position involves working closely with customers and internal teams to ensure ethical, transparent, and high-impact AI deployments.
Required skills
Key responsibilities
- Develop and implement machine learning, AI, and Generative AI models to solve complex business problems
- Acquire, clean, and explore structured and unstructured data while ensuring data integrity
- Evaluate model performance, optimize solutions, and provide actionable insights to stakeholders
- Collaborate with engineering teams to integrate models into production environments
- Engage with customers to define requirements, roadmaps, and performance improvements
- Promote Responsible AI practices, maintain transparency of data limitations, and ensure ethical deployment
- Use advanced AI methods including computer vision, speech processing, NLP, agentic solutions, and optimization algorithms
- Mentor and guide team members, sharing best practices and fostering technical community growth
Experience & skills
- Bachelorâs degree in Data Science, Computer Science, Statistics, or related field (Masterâs or PhD preferred)
- Proven experience in applying AI/ML to business-focused problems in enterprise environments
- Strong coding skills and familiarity with scalable software engineering practices
- Ability to lead complex projects and design end-to-end AI/ML solutions
- Strong communication, problem-solving, and stakeholder management skills
- Deep knowledge of AI/ML industry developments and open-source technologies
- Commitment to ethical AI practices and Responsible AI principles