Data Scientist

position: Data Scientist

Experience Required: 7+ Years

Working Arrangement: Hybrid / Onsite (To be confirmed)

Location: Singapore

Role Summary:

We are looking for a highly skilled Data Scientist with strong expertise in Large Language Models (LLMs), prompt engineering, and AI-driven data processing solutions. The ideal candidate will have hands-on experience building intelligent workflows using Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and modern NLP techniques to process and analyze structured and unstructured data.

Key Responsibilities:

• Design, develop, and implement AI-driven solutions leveraging LLMs to process, analyze, and extract insights from structured and unstructured data/documents.

• Develop and optimize prompt engineering strategies to improve the accuracy, consistency, and reliability of LLM-generated outputs.

• Build and orchestrate intelligent AI workflows using Agentic AI frameworks for automated reasoning and data processing tasks.

• Evaluate and experiment with different LLM models, embeddings, and retrieval techniques to determine the best-fit solutions for business use cases.

• Design and implement RAG (Retrieval-Augmented Generation) pipelines integrated with vector databases and enterprise data sources.

• Ensure scalability, performance, and data quality across AI and NLP processing pipelines.

• Collaborate closely with business stakeholders, engineering teams, and data teams to deliver AI-enabled solutions aligned with business objectives.

Required Technical Skills:

• Strong hands-on experience in Python for AI development and data processing.

• Experience working with LLM APIs such as Azure OpenAI, Llama, or similar platforms.

• Practical experience in prompt engineering, prompt tuning, and LLM output evaluation.

• Hands-on experience with RAG architecture and vector databases such as FAISS, Pinecone, or Azure AI Search.

• Experience with Agentic AI frameworks such as Semantic Kernel or similar orchestration frameworks.

• Strong understanding of NLP techniques, data preprocessing, and handling large datasets.

• Familiarity with REST APIs, data pipelines, and AI model integration with enterprise applications.

• Knowledge of model evaluation, monitoring, optimization, and performance tuning techniques.

Preferred Skills:

• Experience in insurance, reinsurance, or financial services environments is an advantage.

• Exposure to enterprise AI governance and security practices.

• Experience with cloud platforms such as Azure or AWS is an advantage.