Professional, Data Scientist
atSiam Commercial Bank (SCB)Job Description
- Generate insights and provide actionable recommendations by applying statistical and machine learning methods to large and complex datasets
- Solve complex technical and business problems using advanced analytical methods
- Work with engineering teams to implement end-to-end processes, from model development to testing, validation, and deployment
- Research and develop new quantitative models and frameworks to enhance the company’s data science capabilities.
- Bachelor’s degree in Engineering, Computer Science, Mathematics, Physics, Statistics, or another highly quantitative field
- Experience with statistical programming languages (e.g., Python, R, Pandas) and database software (e.g., SQL, PySpark)
- Knowledge of statistics (e.g., hypothesis testing, regression) and machine learning
- Strong analytical and problem-solving skills
- Master’s or Ph.D. degree in a quantitative discipline
- Experience applying machine learning and statistical methods to large datasets
- Solid understanding of advanced statistics and machine learning practices
- Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning)
- Strong coding skills or a software development background
- Ability to think independently and communicate complex ideas to non-technical stakeholders
- Excellent command of English, both verbal and written
Salary
- Negotiable
Job type
- Full-time
Company overview
Siam Commercial Bank (SCB), officially known as The Siam Commercial Bank Public Company Limited, is Thailand's first indigenous bank, established by royal charter on January 30, 1906. Over its more than 110-year history, SCB has played a pivotal role in the development of Tha ...
Why join us: Joining Siam Commercial Bank means becoming part of a legacy that has been instrumental in shaping Thailand's banking industry. At SCB, we value innovation, collaboration, and a commitment to excellence. Employees are provided with opportunities for professional gro ...
Benefits
- Professional development
- Learning & Development Opportunities
- Five-day work week
- Performance bonus