Senior Enterprise AI Scientist—NLP, RAG & Gen AI (APAC)

REFINITIV ASIA PTE. LTD.; Singapore; On-site; SGD 140,000 - 230,000; Full time

Job summary

REFINITIV ASIA PTE. LTD. seeks an Enterprise Data Scientist to lead AI/ML/NLP initiatives across customers in Asia-Pacific. You will architect agentic AI systems, build POCs and production-grade deployments, and integrate third-party technologies with client workflows.

You will collaborate with cross-functional teams, drive scalable AI strategies, and mentor junior staff while ensuring compliance with regulatory expectations and data governance standards.

Qualifications

• PhD is a plus but not required for senior leadership roles.
• 10+ years in data science with AI/ML and NLP focus.
• Experience delivering customer-facing AI/ML solutions in APAC.
• Strong Python, SQL, and data engineering skills.

Responsibilities

• Lead and deliver complex APAC customer engagements in AI/ML/NLP.
• Design and deploy agentic AI systems and POC-to-production deployments.
• Architect and oversee Retrieval-Augmented Generation (RAG) pipelines.
• Guide cross-functional teams and mentor junior members.
• Define governance, observability, and guardrails for safe AI deployments.
• Present technically complex concepts to diverse stakeholders.

Skills

NLP

Generative AI

AI/ML

RAG

LLMs

Data-driven storytelling

Customer-facing

Leadership

Education

Bachelor’s or Master’s in Computer Science/Engineering/Data Science

PhD in a relevant field (a plus)

Tools

LangGraph

AutoGen

CrewAI

MCP (Model Context Protocol)

PyTorch

TensorFlow

Hugging Face

JAX

Azure

AWS

GCP

Pinecone

Weaviate

Apache Kafka

Apache Spark

Airflow

Dask

Ray

MongoDB

Cassandra

DynamoDB

Elasticsearch

Job description

REFINITIV ASIA PTE. LTD. seeks an Enterprise Data Scientist to lead AI/ML/NLP initiatives across customers in Asia-Pacific. You will architect agentic AI systems, build POCs and production-grade deployments, and integrate third-party technologies with client workflows.

You will collaborate with cross-functional teams, drive scalable AI strategies, and mentor junior staff while ensuring compliance with regulatory expectations and data governance standards.