Data Scientist/Machine Learning Engineer – True Money (Ascend Money)

location_on Bangkok

About the role

We are looking for a self-motivated, naturally curious person interested in solving complex lending issues in new and innovative ways. This individual must utilize expertise to query, design and translate complex data analysis into simple, user-friendly mediums that are easily digestible by business units and stakeholders. Candidates must be comfortable working on a team and have strong communication and presentation skills. The Data Scientist will have direct reporting responsibility to the machine learning team lead.


  • Develop machine learning models such as credit model, income estimation model and fraud model
  • Research on cutting-edge technology to enhance existing model performance 
  • Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data) 
  • Develop sentimental analysis model in order to support collection strategy 


  • Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
  • 2-5 years of experiences in programming languages such as Python, SQL or Scala
  • 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role
  • Experience with python libraries – Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django
  • Experience with source version control (Git, Bitbucket)
  • Proven knowledge on Rest API, Docker, Google Big Query, VScode
  • Strong analytical skills and data-driven thinking
  • Strong understanding of quantitative analysis methods in relation to financial institutions
  • Ability to clearly communicate modeling results to a wide range of audiences

Nice to have

  • Experience in image processing or natural language processing (NLP)
  • Solid understanding in collection model 
  • Familiar with MLOps concepts