Data Scientist
สังกัด Data Innovation ปฎิบัติงานยัง บริษัท Infinitas by Krungthai

Job Summary
Data Innovation team under Infinitas is a centralized data enabler to serve both digital and traditional arms of Krungthai Bank. Working as a data scientist here, you would be able to leverage huge amount of financial transaction and customer digital footprint data to improve our personalized
solutions accessed by more than 40 million customers. Over a wide range of undergoing projects, there are many interesting AI/ML tasks waiting for you. These cover recommendation, optimization,and prediction solutions across all bank channels and products. Many other exciting projects are
also on the way to lift our data capabilities by utilising alternative data and real-time scoring. If you enjoy new challenges all the time, come to have fun together with us!

Job Responsibilities:

• Brainstorm with Business User and Data Analyst to propose practical AI/ML solution for solving business problems
• Translate problem statement into requirements and action plans
• Adopt agile development approach to deliver prompt solutions phase by phase
• Conduct EDA and feature engineering from both raw and aggregate data sources
• Maintain, enrich, and expand AI ready data
• Develop quantitative AI/ML models to solve estimation, prediction, or optimization problems
• Work with experienced business experts to develop heuristic models to handle cold start or insufficient data situations
• Design complete AI score validation framework throughout the ML life cycle
• Measure model performance and monitor feature shifting in production environment
• Build AI/ML-related dashboards, including model monitoring and feature monitoring
• Work with ML Engineers or Data Engineers to optimize end-to-end ML operations
• Collaborate with Data Analysts to perform pre- and post-model usage campaign analysis or Dashboard
• Present project and collaborate with Business User to design action strategy

Job Qualifications:

• Minimum of 3 years of data field working experiences and at least 1-year hands-on modeling experiences
• Strong English skill as working language
• Proficient in Python, SQL, Excel
• Good at Visualization tool such as Tableau, and Powerpoint
• Strong analytical thinking and creative thinking
• Good at communication skill, teamwork
• Independently work on end-to-end ML process
•  Solid record of successful model development with business impact in production

Preferred Past Experiences or Knowledge (any of the followings):

• Fintech, big tech or banking industry
• Real time AI/ML model deployment experiences
• Cloud computing
• Gen AI knowledge and experiences