AI Data Scientist — Generative ML & Copilot Solutions

OCBC

Singapore

On-site

SGD 70,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Competitive base salary
Flexible benefits
Community initiatives
Learning & development opportunities
Wellbeing and growth

Job summary

OCBC is seeking a Data Scientist for the AI Lab in Singapore. You will work on AI-driven solutions across banking domains, leveraging ML, NLP and generative models to enhance customer experience and operational efficiency.

You’ll collaborate with cross-functional teams, build scalable models, and communicate insights to stakeholders. A strong foundation in data science and continuous learning is essential for success.

Qualifications

  • Degree in a quantitative field such as CS, data science or statistics.
  • 2–5 years of hands-on data science experience.
  • Proficiency in Python and ML libraries; SQL experience.
  • Experience with deep learning, NLP or reinforcement learning; big data tools.

Responsibilities

  • Design and deploy AI-driven solutions for genAI copilots, recommendations, RAG and more.
  • 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.
  • Create data stories through advanced visualization and storytelling; collaborate with teams.

Skills

Python
SQL
Communication
Stakeholder engagement
Curious mindset

Education

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

Tools

TensorFlow
PyTorch
scikit-learn
Apache Spark
Hadoop

Job description

OCBC is seeking a Data Scientist for the AI Lab in Singapore. You will work on AI-driven solutions across banking domains, leveraging ML, NLP and generative models to enhance customer experience and operational efficiency.

You’ll collaborate with cross-functional teams, build scalable models, and communicate insights to stakeholders. A strong foundation in data science and continuous learning is essential for success.

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