AI Lab Data Scientist — GenAI, ML & Customer Impact

OCBC (Singapore); Singapore; On-site; SGD 80,000 - 140,000; Full time

Job summary

OCBC Bank in Singapore is hiring a Data Scientist for the AI Lab to help shape the future of banking through AI, machine learning, and hyper-personalisation. You’ll gain hands‑on experience across multiple business domains, solving real‑world problems that impact millions of customers.

This growth‑focused role builds strong foundations in data science while contributing to innovative solutions that enhance customer experience, improve efficiency, and support strategic decisions.

Qualifications

• 2–5 years of hands-on data science experience.
• Proficient in Python and ML libraries; SQL familiarity.
• Experience with deep learning, NLP, or reinforcement learning.
• Strong communication and stakeholder engagement.

Responsibilities

• Design and deploy AI-driven solutions for genAI copilots, recommendations, RAG and etc
• Build and scale predictive and generative models using modern ML
• Explore and apply Agentic AI concepts to automate decision‑making and enhance customer engagement
• Work with large-scale structured and unstructured data across multiple domains
• Develop compelling data stories through advanced visualisation and storytelling techniques
• Partner with cross‑functional teams to co-create innovative solutions using the latest in cloud, ML Ops, and real‑time data platforms

Skills

Python

TensorFlow

PyTorch

scikit-learn

SQL

Big data (Hadoop/Spark)

Communication

Stakeholder engagement

Learning mindset

Education

Bachelor's degree in Computer Science / Data Science / Statistics

Tools

Hadoop

Apache Spark

Cloud platforms (AWS/GCP/Azure)

Job description

OCBC Bank in Singapore is hiring a Data Scientist for the AI Lab to help shape the future of banking through AI, machine learning, and hyper-personalisation. You’ll gain hands‑on experience across multiple business domains, solving real‑world problems that impact millions of customers.

This growth‑focused role builds strong foundations in data science while contributing to innovative solutions that enhance customer experience, improve efficiency, and support strategic decisions.