Data Scientist, AI Engineer - dnata Travel Management
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Key skills for this role
About the Role
dnata Travel Group seeks a Data Scientist/AI Engineer to design and apply generative AI, LLM, and machine learning techniques to solve complex business problems. The role requires 2-4 years of hands-on analytics experience, proficiency in SQL, R, Python, and Azure AI stack, and a MSc/PhD in a relevant field.
Key Skills for This Role
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 data science, operations research, mathematics, AI, statistics, or related field
- 2 4 years of hands on experience in analytics ecosystem
- Experience with SQL, R, Python
- Experience with LLMs, GenAI, prompt engineering, and RAG patterns
- Experience with Azure AI stack (Azure OpenAI, AI Search, Document Intelligence)
- Experience with DevOps frameworks (Git, CI/CD, Docker)
- Experience working with DevOps & engineering teams to integrate models
- Experience building reusable libraries/packages and production grade DS solutions
Full Job Posting
Job Purpose
- dnata is a global air and travel services provider operating across 130+ airports in 34 countries.
- As a Data Scientist – AI Engineer, you will design and apply generative AI and LLM based techniques, alongside machine learning, to solve complex business problems across dnata Travel Group.
In This Role, You Will
- 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.
To be considered for this position, you must meet the below 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).
- Experience with LLMs, GenAI, including prompt engineering and RAG patterns.
- Experience with Azure AI stack (Azure OpenAI, AI Search, Document Intelligence).
- Experience with 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.
You Will Have An Edge If You Have/are
- 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
- Attractive tax free salary.
- Generous travel benefits including discounted flights and hotel stays.
- Excellent leave and healthcare package.
- Transport benefits, life insurance and more.
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