العودة إلى الوظائف
Junior AI Engineer / Data Scientist Role
Five Hotels and Resorts
Dubai, DU, AEFull-timeتقنية المعلومات٣ حزيران ٢٠٢٦
تفاصيل الوظيفة
### **Job Description**
An Exhilarating Opportunity
Are You Ready for a Daring Challenge with The World’s Hottest Luxury Hotel Group? Disruptive by Design, FIVE Hotels and Resorts is Redefining ‘FIVE-Star’ Hospitality and Setting the Gold Standard across the Industry.
Join the FIVE Tribe - and Get Ready to Make Waves.
The Candidate
A Driven Self-Starter, you have Excellent Communication, Leadership and Organisational Skills. As an Astute Creative and Critical Thinker, you can Conceptualise and Implement Innovative Solutions in a Fast-Paced Environment. Not even the Smallest Detail Escapes Your Keen Eye and You Execute Tasks Proactively with Precision and Finesse. A ‘Can-Do!’ Attitude Coupled with An Inherent Flair for Taking Ownership Makes You a Highly Motivated Go-Getter.
Your Outgoing and Approachable Nature enables you to Seamlessly Connect with other ‘FIVERs’ and key Stakeholders, ensuring that Their and Your Journey at FIVE is nothing short of Sensational. Joining our Digital Marketing Team as Junior AI Engineer / Data Scientist Role will Empower you to deliver Exceptional Experiences across our award-winning Lifestyle Destinations. Jump on Board and Unlock your Potential in a Buzzing Environment that will take your Career to New Heights!
What We’re Looking For
**Experience**
* 0–3 years of experience in Data Science, Artificial Intelligence, Machine Learning, Data Engineering, or related fields
* Hands-on experience through internships, research projects, freelance work, or personal projects involving AI, analytics, or software development
* Exposure to real-world business applications of AI, machine learning, analytics, or automation is preferred
**Technical Skills**
* Strong proficiency in Python and SQL (mandatory)
* Solid understanding of data analysis, statistics, and machine learning fundamentals
* Familiarity with machine learning frameworks and libraries (such as Scikit-learn, Pandas, NumPy)
* Experience working with APIs, structured and unstructured data sources
* Understanding of LLMs, AI agents, prompt engineering, and API-based AI workflows
* Basic familiarity with cloud platforms (AWS preferred), including storage and compute services
* Understanding of data ingestion, ETL processes, and pipeline design
* Knowledge of data visualization and reporting tools is an advantage
**Core Competencies**
* Strong analytical and problem-solving mindset
* Ability to translate ambiguous business requirements into practical solutions
* High attention to detail and commitment to data accuracy
* Pragmatic approach to building scalable and maintainable solutions
* Strong communication skills with both technical and non-technical stakeholders
* Curiosity, adaptability, and eagerness to learn emerging AI technologies
**What Makes This Role Unique**
* Opportunity to work on real-world AI solutions used by operations, marketing, reservations, revenue teams, and guests
* Exposure to cutting-edge AI technologies, LLMs, conversational AI, and advanced analytics
* High ownership and visibility from the beginning of your career
* Strong mentorship and accelerated learning environment
* Direct impact on business performance, guest experience, and operational efficiency
**Performance KPIs**
* Successful delivery of AI and data projects
* Accuracy and reliability of data pipelines and models
* Improvement in automation and operational efficiency
* Quality and performance of AI assistants and applications
* Adoption and business impact of deployed solutions
Key Responsibilities
**AI & Data Applications**
* Build and maintain Python applications leveraging machine learning models, LLM APIs, structured data, and cloud services
* Develop AI-powered tools and assistants that improve operational efficiency and guest experiences
* Support the design and deployment of conversational AI solutions across web and messaging platforms
* Collaborate with business teams to identify opportunities for AI-driven automation
**Data Engineering & Pipelines**
* Build, maintain, and optimize data pipelines for machine learning, analytics, and reporting
* Collect, clean, transform, and structure data from multiple internal and external sources
* Ensure data quality, consistency, and reliability across systems
* Support integration of APIs, cloud storage, and business platforms
**Machine Learning & Model Evaluation**
* Develop and test machine learning models for forecasting, personalization, and business optimization
* Evaluate model performance using appropriate metrics, validation frameworks, and monitoring processes
* Assist in feature engineering, model tuning, and performance analysis
* Monitor deployed models and identify opportunities for continuous improvement
**Business Problem Solving**
* Work closely with stakeholders across reservations, marketing, revenue, and operations teams
* Translate business requirements into practical AI and data solutions
* Analyse complex da