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Data Scientist (KLA4F)

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Onsite

Data Scientist (KLA4F)

Kasikorn Labs

Data Scientist (KLA4F)

Skills

Data ScienceData AnalysisMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Bangkok, Thailand

Work mode:

Onsite

Published on:

27 August 2026

What they need


Company Overview

KASIKORN Business-Technology Group (KBTG) is a tech arm of KBank. At KBTG, we never cease to develop financial technologies and wide-ranging digital banking services. We are the driving force behind KBank's success, as well as the pioneer of world-class innovations. Utilizing our expertise in fintech, combined with the new generation's outside-the-box thinking, KBTG strives to become the best tech organization of Southeast Asia by 2025.

Learn more about KBTG: http://www.kbtg.tech

Job Description

Collaborate with cross-functional team to define problems, quantify metrics, explore data, build analytical models, and make recommendations while utilizing various data processing tools and exploring data science and machine learning research.

Job Qualification

  • Work in a cross-functional team to define problems, quantify metrics, explore data, build analytical models, conduct experimentation, and make recommendations
  • Build and maintain optimization models, visualizations, experiments, forecasting algorithms, and machine learning models to support business decisions
  • Leverage various tools in data processing and modeling to drive efficient advanced analytics
  • Work with business partners including KBTG Vietnam to understand processes and leverage data to gain actionable insights
  • Use predictive modeling to enhance and optimize customer experiences, revenue generation, and business operation
  • Communicate findings and recommendations to all stakeholders as well as drive decision making
  • Explore state-of-the-art data science and machine learning research
  • Be part of an active group of data science and machine learning practitioners that shape the direction of machine learning and artificial intelligence of the organization
  • Research and study new tools and new frameworks to enhance data science capabilities and drive data mindset and strategy

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