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Data Scientist (All level)






About Us

Do you want to be part of Thailand banking transformation? Data is the core of the new financial services era, and we are open for the opportunity to be part to drive this change at the core.

SCB DATAx is a new venture of the Siam Commercial Bank (SCB) holdings, a leading financial services and digital services holdings in Thailand and ASEAN. As part of the transformation of SCB into a group of product and technology companies, under the SCBx brand, SCB DATAx is the technology company to centralize data and provide AI and data science services and products to the group. With a leading-edge cloud native data & AI platform, our vision is to support the group to providing everyone in our region with the opportunity to prosper.

We work on forward-thinking challenges of centralizing, analyzing and sharing information. We collaborate with companies and experts in many different domains, embrace diversity and all that while having a good laugh and joy in work.


Discover job openings on our career page. To apply, email with the role's title as the subject, attach your CV, and specify your contact information. We're eager to learn more about you.

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Preferred Qualifications

  • Master’s or PhD degree in a quantitative discipline  

  • Experience and domain knowledge in banking, finance, insurance, payments, investing or similar industry.  

  • Experience in model risk management.  

  • Familiarity of relevant laws and regulations governing data, e.g., PDPA.  

  • Experience in one or more specialized areas, e.g., A/B testing, recommendation systems, deep learning, NLP, optimization.  

  • Experience in working with MS Azure stack and Databricks.  

  • Outstanding coding skills or software development background. 


  • Open-minded customer focused quick learner with strong analytical problem-solving capabilities and desire to explore and keep up with the latest technologies.  

  • Bachelor’s degree in engineering, computer science, mathematics, physics, statistics or other areas that are highly quantitative.  

  • Knowledge in probability, statistics and machine learning applied to tabular data.  

  • 3+ years hands-on experience as a data scientist, statistician or machine learning engineer.  

  • Excellent proficiency in SQL and Python.  

  • Hands on experience with frameworks like scikit-learn, pandas, Spark MLlib or others.  

  • Ability to translate business problems into technical solutions and communicate back to non-technical stakeholders.  

  • Excellent communication with professional level Thai and English, both verbal and written.  

  • Independent as well as great team player and interpersonal skills.  


  • Collaborate with various stakeholders to understand business objectives and challenges.  

  • Translate business problems into well-defined data science solutions with measurable objectives and deliverables.  

  • Apply machine learning, statistical modeling, and data analysis techniques on large and complex tabular data and draw insights with actionable recommendations.  

  • Work with business, engineering and risk management teams to implement end-to-end process from model development to testing, validation, deployment and lifecycle support.  

  • Communicate findings and recommendations to non-technical stakeholders in a clear and concise manner.  

  • Research, study and develop new tools and new frameworks to enhance our data science capabilities and drive our customers’ data mindset and strategy.  

  • Discover and harness new ideas to fertilize new discoveries that can make a difference.  

  • Exhibit self-initiative do explore data analysis and formulate hypotheses to understand data. 

  • Define performance and data drift metrics to support the product team in determining when to retrain and tune statistical models. 

  • Write comprehensive documents at each step to ensure that other team members can reuse the knowledge. 

  • Assist other developers to validate correctness of transformed data to ensure output data is of high quality. 

  • Assist quality assurance (QA) team with UAT testing (if required) 

  • Create or update metadata (Business, Technical, Dataset) in accordance with standard specified by Data Governance and project team. This includes writing attribute business name and business definition. 

  • Identify Critical Data Element (CDE) for data quality monitoring purposes. Create and review data quality rules with Data Quality team. 

  • Derive business implication and/or actionable recommendations from the findings. 

About Team & Role

As the Data Scientist, you will be responsible for building statistical and machine learning models and deploy analytical solutions to support operations and business decisions. You will work with multiple internal and external stakeholders to draft plans and implement end-to-end solutions from model development to testing, validation, deployment, and lifecycle support.

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