Data Scientist, AI Lab - GenAI & ML Solutions

OCBC; Singapore; On-site; SGD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Flexible benefits

Community initiatives

Learning & development

Wellbeing & growth

Job summary

OCBC invites applications for a Data Scientist in its AI Lab in Singapore. You’ll work on AI, machine learning, and hyper‑personalisation to address real-world banking problems impacting millions of customers.

You will collaborate with experienced data scientists and business stakeholders to design, deploy, and communicate insights, building scalable models and data stories across domains.

Qualifications

• Degree in Computer Science, Data Science, Statistics, or related quantitative field.
• 2–5 years of hands-on data science experience.
• Proficiency in Python and ML libraries; familiarity with SQL.

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 cloud, ML Ops, and real‑time data platforms.

Skills

Python

TensorFlow

PyTorch

scikit-learn

SQL

Big Data

NLP

Reinforcement learning

Communication

Stakeholder engagement

Education

Bachelor's degree in Computer Science or Data Science

Tools

TensorFlow

PyTorch

Hadoop

Apache Spark

Job description

OCBC invites applications for a Data Scientist in its AI Lab in Singapore. You’ll work on AI, machine learning, and hyper‑personalisation to address real-world banking problems impacting millions of customers.

You will collaborate with experienced data scientists and business stakeholders to design, deploy, and communicate insights, building scalable models and data stories across domains.