Junior AI Engineer​/Data Scientist

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.

• 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, Num Py.
• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Work closely with stakeholders across reservations, marketing, revenue, and operations teams.
• Translate business requirements into practical AI and data solutions.
• Analyse complex datasets to uncover actionable insights and recommendations.
• Support decision‑making through data‑driven analysis and reporting.

• Write clean, maintainable, and reusable code following best practices.
• Document technical processes, models, and system architectures.
• Stay updated with emerging AI technologies, tools, and industry trends.
• Contribute to the continuous improvement of data and AI capabilities across the organization.

A driven self‑starter with excellent communication, leadership, and organisational skills. An astute creative and critical thinker who conceptualises and implements innovative solutions in a fast‑paced environment. A proactive, detail‑oriented individual with a can‑do attitude and a strong sense of ownership.

We celebrate diversity and are committed to creating an inclusive environment for all employees.

The FIVE Tribe represents over 70 nationalities across it.