HKT’s Data Monetisation Team is looking for a highly capable Data Scientist / Senior Data Scientist specializing in LLMs to design, build, and optimize scalable AI systems, including Retrieval-Augmented Generation (RAG), playing a key role in enabling intelligent, context-aware applications that enhance customer experience and drive measurable business impact.
Responsibilities
- Assist Lead Data Scientist in building end-to-end Retrieval-Augmented Generation (RAG) pipelines for accurate, context-aware AI responses.
- Optimize document chunking, re-ranking, embedding generation, and vector retrieval.
- Optimize prompt and implement guardrails to minimize hallucinations and improve factual grounding.
- Monitor retrieval performance, query relevance, and response quality through A/B testing and metrics.
- Collaborate with data engineers and scientists to integrate RAG into production systems.
- Manage vector databases, feature stores, and data pipelines.
Requirements
- A master’s degree or PhD in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. The equivalent of the same working experience is also acceptable for the position.
- 3+ years of working experience in a data science capacity. No preference for the background sector, but first experience in Retail/FMCG/Property/Telecom is a plus. You will also have demonstrated successful experience leading a data science team through the implementation of new data science models, tools, and techniques that lead to improvement if business performance due to a continued culture of informed decision-making. Strong technical understanding of Martech, personalization, and marketing automation is preferred.
- Excellent communication skills to be able to tailor and convey technical messages in a clear and understandable manner, leading to business-wide improvement of data management, informed decision making, and ultimate improvement in performance.
- Strong hands-on experience building RAG pipelines with vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma).
- Proficiency in Python, embedding models (e.g., OpenAI, Hugging Face), and frameworks like LangChain or LlamaIndex.
- Familiarity with LLMs, prompt engineering, and techniques.
- Knowledge of MCP (Model Context Protocol) is a plus.
- Experience working with cloud environments such as AWS, Azure, or GCP.
- Strong Python and SQL proficiency.
- Take ownership of tasks assigned and have a positive “can-do” attitude
- Curious minded and is not afraid of asking questions and challenging status quo
- Good communication skills
- A team player
About the Data Monetisation Team at HKT
The Data Monetisation Team manages customer data at HKT and is responsible for transforming data into actionable insights that support business growth. We work closely with both internal business functions and external partners to deliver values to business by applying cutting edge AI and machine learning algorithms. We excel at delivering end-to-end solutions that embedded into processes seamlessly for our users.
We are a team of 40 strong data scientists and data engineers who believe in data. We are nurturing a data-driven decision-making culture in the entire organization by creating single source of truth and democratizing data for users at all levels in the organization.
We value ownership and encourage candid communication and feedback within the team. We challenge each other so that we can find the best solution to the problem. We enjoy learning from each other and solving real world problems.