Data Scientist

Kiatnakin Phatra Financial Group (Bangkok, Bangkok City, Thailand)

Bangkok, Thailand

The establishment of Kiatnakin Phatra Financial Group (KKP) brought together knowledge and experience of commercial banking and capital markets businesses. The group comprises of Kiatnakin Phatra Bank PLC, Kiatnakin Phatra Securities PLC, Kiatnakin Phatra Asset Management Co., Ltd., and KKP Dime Securities Co., Ltd. Our goal is to provide top-notch financial services while ensuring maximum benefits for customers, employees, and shareholders, and to contribute to the growth of the nation's financial markets and economy through our products and services, which encompass both money markets and capital markets. KKP is committed to fostering opportunities for success. Here, you will have the chance to learn, develop, and realize your full potential. We believe in providing fulfilling rewards, promoting a fun work environment, and being proud to make a positive impact on society.

Detail posisi

The Data Scientist role involves applying statistical and machine learning methods to analyze large datasets, collaborating with teams, and solving complex issues to provide actionable insights.

Kewajiban

• Apply statistical and machine learning methods to analyze large and complex datasets, providing insights and actionable recommendations in customer acquisition, segmentation, and personalized marketing areas.
• Collaborate with engineering and business teams to implement end-to-end process from model development to testing, validation, deployment.
• Plan and conduct A/B testing to verify model performance and assess the effectiveness of the campaign for future enhancement.
• Solve complex issues on both technical and business sides using advanced analytical techniques.

Kualifikasi

• 0 to 3 years of professional experience as a Data Scientist/ML Engineer
• Proficiency in SQL and Python (or PySpark)
• Good understanding and hand-on experience in ML model development (e.g. classification/regression, tree-based model, clustering, SVMs, PCA)
• Strong analytical and problem-solving skills
• Good communication and interpersonal skills to effectively interact with cross-functional team
• Solid understanding of financial industry
• Comprehensive knowledge of advanced statistical methods and machine learning practices
• Exceptional coding skills or a background in software development
• Ability to articulate complex concepts effectively to a non-technical audience
• Strong sense of responsibility and teamwork.