Senior Data Scientist – Real-Time AI & Decisioning

Alliance Bank Malaysia Berhad

Kuala Lumpur

On-site

MYR 180,000 - 280,000

Full time

2 days ago
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Job summary

Alliance Bank Malaysia Berhad in Kuala Lumpur seeks a Data Scientist/ML Engineer to design and deploy predictive, prescriptive, and AI-driven analytics solutions. You will work with data engineers to build real-time scoring, event-triggered decisioning, and governance practices to ensure scalable, production-ready models within a banking environment.

Ideal candidates have 5–8 years in data science, strong Python/SQL skills, and experience deploying ML solutions in financial services or digital

Qualifications

  • 5-8 years' experience in Data Science, Machine Learning, AI, Advanced Analytics or Decision Science.
  • Experience deploying predictive, prescriptive or AI-driven solutions into production environments.
  • Experience in customer analytics, personalization, recommendation engines, real-time decisioning or event-triggered use cases is highly desirable.
  • Banking/financial services/fintech or digital business experience is preferred.
  • Strong proficiency in Python and SQL.
  • Familiarity with cloud platforms and MLOps concepts.

Responsibilities

  • Develop and deploy predictive, prescriptive or AI-driven solutions into production environments.
  • Design real-time scoring and decisioning workflows to support customer interactions.
  • Collaborate with Data Engineering to build AI-ready data models and feature stores.
  • Establish model governance, validation, monitoring and explainability standards.
  • Ensure solutions are scalable, explainable and production-ready.

Skills

Data Science
Machine Learning
AI
Advanced Analytics
Decision Science
Python
SQL
Generative AI
Conversational AI

Tools

Databricks
Microsoft Fabric
Snowflake
Azure ML
CI/CD

Job description

Alliance Bank Malaysia Berhad in Kuala Lumpur seeks a Data Scientist/ML Engineer to design and deploy predictive, prescriptive, and AI-driven analytics solutions. You will work with data engineers to build real-time scoring, event-triggered decisioning, and governance practices to ensure scalable, production-ready models within a banking environment.

Ideal candidates have 5–8 years in data science, strong Python/SQL skills, and experience deploying ML solutions in financial services or digital

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