Senior Applied Data Scientist — AI, ML & Customer Insights

OCBC

Singapore

On-site

SGD 180,000 - 240,000

Full time

14 days+

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Job summary

OCBC in Singapore is seeking a seasoned Data Analyst to drive data science, analytics and AI initiatives across cross-functional teams. You will translate business needs into analytical models, generate actionable insights and deliver scalable solutions that support growth and customer experience.

Applicants should hold a postgraduate degree in statistics, maths, CS or data science with at least 10 years of experience in ML, analytics and AI production.

Qualifications

  • Postgraduate degree in Statistics, Mathematics, Computer Science, Data Science, or related field.
  • Minimum 10 years of experience in Data Science, Customer Analytics, ML, or AI solution development.
  • Experience with large datasets, statistical modelling, and advanced analytics.
  • Strong programming skills and production-grade software engineering practices.
  • Experience with distributed data platforms and ML/AI in production at scale.

Responsibilities

  • Drive data science, analytics, ML, AI, and generative AI to create measurable business value.
  • Partner with stakeholders to identify high-impact analytics opportunities to improve customer experience and risk management.
  • Translate objectives into analytical frameworks and models, ensuring alignment with priorities.
  • Develop and deploy ML/AI models, monitor performance, and optimize impact.
  • Collaborate with Data Engineering to source and integrate datasets for scalable analytics.
  • Promote responsible AI and best practices in model development.

Skills

Data analysis
Machine learning
Statistical modelling
Big data processing
Stakeholder collaboration
Communication

Education

Postgraduate degree in Statistics/ Mathematics/ CS/ Data Science

Tools

Hadoop
Trino
Vector Databases
Ray
SageMaker
AWS
Git/Jira

Job description

OCBC in Singapore is seeking a seasoned Data Analyst to drive data science, analytics and AI initiatives across cross-functional teams. You will translate business needs into analytical models, generate actionable insights and deliver scalable solutions that support growth and customer experience.

Applicants should hold a postgraduate degree in statistics, maths, CS or data science with at least 10 years of experience in ML, analytics and AI production.

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