Data Scientist

Siam Commercial Bank (Chatuchak, Bangkok City, Thailand)

Bangkok, Thailand

As Thailand’s first bank, Siam Commercial Bank firmly grows and want to be “The Most Admired Bank” in Thai people’s heart. Our secret that always hold customers’ heart with us as are the best service from our staff and continually product inventions to serve all type of our customers. Thanks to the talent that comes and stays with us, we continue to dominate the kingdom’s banking industry through innovative products and services. That’s why we are always on a lookout for driven, responsible and enthusiastic people to join our team.

About this position

As Data Scientist in SCB, you will join a group of enthusiastic people working passionately to leverage this wealth of data for business uses. You will analyze the data, extract insights and create models for improving customer experience and formulating business strategies. You will work closely with multiple teams to identify opportunities and drive business results with data-driven research.

Responsibilities

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations
• Solve complex problems on both technical and business sides using advanced analytical methods
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment
• Research and develop new quantitative models and frameworks to enhance the company’s data science capability

Requirements

• Bachelor’s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark)
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning
• Strong analytical problem-solving capabilities
• Master’s or PhD degree in a quantitative discipline (preferred)
• Experience applying machine learning and statistical methods to large datasets (preferred)
• Solid understanding of advanced statistics and machine learning practices (preferred)
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning) (preferred)
• Outstanding coding skills or software development background (preferred)
• Ability to think independently and communicate complex ideas to less technical persons (preferred)
• Excellent command of English in both verbal and written forms (preferred)