AI Lab Data Scientist — GenAI, ML & Data Storytelling

OCBC Bank; Singapore; On-site; SGD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive base salary

Flexible benefits

Industry-leading learning & dev

Job summary

OCBC Bank in Singapore is seeking an experienced Data Scientist to build AI-driven solutions, including genAI copilots and RAG-based recommendations. You will scale machine learning models, work with large-scale data, and translate insights into compelling data stories while collaborating across teams on cloud and real-time data platforms.

The role requires a degree in a quantitative field and 6–12 years of hands-on data science experience, with strong Python and ML library skills, plus SQL

Qualifications

• Degree in Computer Science/Data Science/Statistics or related quantitative field.
• 6–12 years hands-on data science experience.
• Proficiency in Python and modern ML libraries (TensorFlow, PyTorch, scikit-learn). Familiarity with SQL.

Responsibilities

• Design and deploy AI-driven solutions for genAI copilots, recommendations, and RAG.
• Build and scale predictive and generative models using modern ML.
• Explore Agentic AI concepts to automate decision-making and enhance customer engagement.
• Work with large-scale structured and unstructured data across domains.
• Develop data stories through advanced visualization and storytelling techniques.
• Collaborate with cross-functional teams using cloud, ML Ops, and real-time data platforms.

Skills

Python

ML libraries

SQL

Data storytelling

Communication

Curious mindset

Education

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

Tools

TensorFlow

PyTorch

scikit-learn

Hadoop

Apache Spark

Job description

OCBC Bank in Singapore is seeking an experienced Data Scientist to build AI-driven solutions, including genAI copilots and RAG-based recommendations. You will scale machine learning models, work with large-scale data, and translate insights into compelling data stories while collaborating across teams on cloud and real-time data platforms.

The role requires a degree in a quantitative field and 6–12 years of hands-on data science experience, with strong Python and ML library skills, plus SQL