Position : Associate / Senior Associate - Data Scientist

Department: Data Commercialization

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 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

1. Brainstorm with Business User and Data Analyst to propose practical ML solution for solving business problems
2. Translate problem statement into model requirements and action plans
3. Adopt agile development approach to deliver prompt solutions phase by phase
4. Conduct EDA and feature engineering from both raw and aggregate data sources
5. Maintain, enrich, and expand ML data feature pools
6. Develop quantitative models to solve estimation, prediction, or optimisation problems
7. Work with experienced business experts to develop heuristic models to handle cold start or insufficient data situations
8. Design complete score validation framework throughout the model life cycle
9. Measure model performance and monitor feature shifting in production environment
10. Work with ML Engineer or Data Engineer to optimise scoring processing time

Job Qualification:

Essential Requirements:

• English as working language

• Minimum of 3 years of data field working experiences

• At least 1-year hands-on modeling experiences

• Proficient in Python, good at SQL

• Strong logical thinking and creative thinking

• 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 ML model deployment experiences

Contact : K.Wannaporn 02-•••-•866

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