AI Analyst

AI Analyst (UAE National) at Inspire Selection. About the role Abu Dhabi is investing heavily in artificial intelligence, and Inspire Selection is helping organizations put that investment to work. As an AI Analyst, you will sit at the point where data becomes decisions. This is a growth role built for someone with a head for statistics, a working knowledge of machine learning concepts and the discipline to see analyses through to completion. You will not be asked to break new research ground; you will be asked to apply proven methods to real business problems, keep models useful after launch and explain results in plain language that decision makers actually understand. Early-career professionals are welcome, and strong internship experience in AI or analytics is taken seriously. If you can move comfortably between a spreadsheet and a Python notebook, you will find room here to grow fast and build a foundation for a long career in data and machine learning.

Key facts

• Based in Abu Dhabi, focused on applied AI and data-driven decision making.
• Open to early-career professionals and graduates with relevant internships.
• Part of a cross-functional team spanning data science and business.
• Hands-on exposure to production systems, not just prototype work.

What you'll do

• Build analytical models that turn raw data into clear business answers.
• Prepare, clean and validate datasets before any analysis begins.
• Write Python scripts to automate recurring reporting and quality checks.
• Apply machine learning concepts to classify, predict and segment outcomes.
• Translate model results into briefings for non-technical stakeholders.
• Design experiments and track metrics to prove what actually works.
• Keep documentation current so every analysis is easy to reproduce.
• Partner with data engineers to improve the quality of incoming data.
• Evaluate new AI tools and recommend the right one for each problem.
• Support ad hoc analytics requests across the wider organization.

Requirements

• Strong background in statistics and analytical thinking.
• Working knowledge of AI and machine learning concepts.
• Practical experience using Python or a similar language.
• Ability to present findings clearly in reports and meetings.
• Comfort with data visualization and common analytics tools.
• Solid command of Excel and SQL for everyday data work.
• A quantitative degree in data science, math or computer science.
• Eligibility to work in the UAE as a national candidate.

Nice to have

• Experience with cloud platforms such as AWS, Azure or GCP.
• Familiarity with large language models and generative AI tools.
• Prior internship or project work in an applied analytics setting.
• Familiarity with version control and basic software engineering practice.

Skills & tools

• Python for data analysis, modeling and automation.
• SQL for querying and exploring structured data.
• Machine learning libraries such as scikit-learn and similar.
• Dashboards, charts and BI tools for clear visualization.
• Statistical methods including hypothesis testing and regression.
• Communication of technical results to varied audiences.

Project highlights

• Build a prediction model that drives a real business decision end to end.
• Automate a monthly reporting flow that once took hours of manual work.
• Lead a proof of concept that evaluates a new AI tool for the team.

Why you should apply

This is a rare early-career opening in a region that is funding AI at scale. You will learn from experienced data professionals, work with modern tooling and watch your analyses influence real decisions. The position offers a clear path toward senior analytics and machine learning roles, and the pace of work means every month brings new problems to solve. For UAE nationals who want to build a serious career in artificial intelligence, this is a place to develop strong fundamentals while doing work that has a genuine impact on how businesses operate.

Practical notes

• Interviews focus on analytical reasoning and practical problem solving.
• Hybrid working options may be available depending on team needs.
• The team welcomes applicants at analyst level with relevant internships.
• You will present your work regularly to business stakeholders.