Data Scientist – AI, GenAI & Real-Time Analytics

OCBC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive base salary

Learning & development opportunities

Wellbeing programs

Job summary

OCBC is seeking a senior Data Scientist in Singapore to advance AI and ML initiatives across multiple business domains. You will design, implement and scale models, including generative and predictive systems, while shaping customer experiences and operational efficiency.

You will partner with data engineers, product managers and business stakeholders to translate insights into impactful solutions, staying current with GenAI trends and cloud-based ML workflows.

Qualifications

• Degree in CS/Math/Stats or related field.
• 6–12 years hands-on data science experience.
• Proficiency in Python and modern ML libraries.
• Experience with DL, NLP or RL; exposure to big data tech (Hadoop/Spark).
• Strong communication and stakeholder engagement skills.
• Curious mindset with passion for continuous learning and experimentation.

Responsibilities

• Design and deploy AI-driven solutions for GenAI copilots, recommendations, RAG and related tasks.
• Build and scale predictive and generative models using modern ML frameworks.
• Explore 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 visualization and storytelling techniques.
• Collaborate with cross-functional teams using cloud, ML Ops and real-time data platforms.

Skills

Python

ML libraries

Communication

Curiosity & learning

Stakeholder engagement

Education

Bachelor's degree in Computer Science or related quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

SQL

Hadoop

Apache Spark

Job description

OCBC is seeking a senior Data Scientist in Singapore to advance AI and ML initiatives across multiple business domains. You will design, implement and scale models, including generative and predictive systems, while shaping customer experiences and operational efficiency.

You will partner with data engineers, product managers and business stakeholders to translate insights into impactful solutions, staying current with GenAI trends and cloud-based ML workflows.