As a Data Scientist – AI Engineer, your role will be to undertake Data Science and AI projects by designing and applying generative AI and LLM-based techniques, alongside machine learning, problem structuring, and data analysis to solve complex business problems across the company portfolio, with a focus on timely delivery and ownership of results.
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Responsibilities
- Deliver analytics and data science projects using statistical, machine learning, and AI techniques
- Translate data into clear insights and recommendations for business stakeholders
- Develop and maintain data pipelines, models, and analytical tools
- Analyse KPIs and large datasets (structured and unstructured) to identify trends and opportunities
- Apply the most appropriate techniques (ML, optimisation, AI/LLMs) to solve business problems
- Collaborate with cross-functional teams across data, engineering, and business domains
- Support deployment, testing, and continuous improvement of solutions in production environments
- Work in iterative delivery cycles, adapting quickly to changing requirements
Requirements
- MSc/PhD in a relevant field (data science, operations research, mathematics, AI, statistics, etc.)
- 2–4 years of hands-on experience in the analytics ecosystem
- Experience with:
- Programming languages (SQL, R, Python)
- LLMs, GenAI, including prompt engineering and RAG patterns
- Azure AI stack (Azure OpenAI, AI Search, Document Intelligence)
- DevOps frameworks (Git, CI/CD, Docker)
- Experience working with DevOps & engineering teams to integrate models and workflows
- Experience building reusable libraries/packages and production-grade DS solutions
Preferred Qualifications
- Strong team player with a problem-solving mindset
- Experience delivering advanced analytics in large, complex organisations
- Ability to challenge and validate analytical outputs
- Focus on driving business value and long-term stakeholder relationships
- Capability to grow teams and maintain culture/strategy alignment
- Experience with agent-based / multi-step AI workflows
- Exposure to vector databases, embeddings and semantic search
- Familiarity with MLflow, Databricks, or LLM observability frameworks
- Proven experience delivering end-to-end data / AI pipelines from ingestion through to deployment
- Experience scaling an AI solution in production
- Leisure travel / destination management industry experience
- Analytics domain certifications
Salary & Benefits
Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That’s on top of transport benefits, life insurance and more.
