Data Scientist, AI Engineer
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Key skills for this role
About the Role
dnata is seeking a Data Scientist/AI Engineer to design and apply generative AI, LLM, and machine learning techniques to solve complex business problems in the travel group. The role involves delivering analytics projects, developing data pipelines, and collaborating with cross-functional teams.
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 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
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 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 dnata Travel Group portfolio.
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
Qualification
- 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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