Data Science

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. If you are looking for a work environment that offers you opportunities to grow for a better life, a better workplace, and a better future. Come and join us!

Description

• Lead Projects: Drive end-to-end development of machine learning or data solutions for various problems including customer acquisition, cost optimization, and marketing optimization.
• Business Impact: Collaborate with stakeholders to identify gaps, prioritize projects, and deliver measurable outcomes.
• Technical Excellence: Mentor junior/mid-level team members, provide actionable feedback, and solve complex technical challenges, including exploring new methodologies.
• Process Improvement: Optimize workflows, reduce costs, and lead Data Science (DS) initiatives to enhance team performance.
• Stakeholder Management: Effectively run meetings with internal and external stakeholders, ensuring alignment and progress.

Qualification

• 5+ years of experience as a Data Scientist, with demonstrated ability to lead projects and mentor team members.
• Demonstrated ability to research and solve technical challenges in new or ambiguous areas.
• Excellent problem-framing, communication, and stakeholder management skills.
• Experience leading technical projects, managing risks, and prioritizing resources effectively.
• Proven expertise in advanced statistical methods, machine learning techniques (classification, regression, clustering, NLP, etc.), and model deployment.
• Proficiency in Python, PySpark, and SQL for large-scale data processing.
• Ability to translate complex data solutions into business outcomes.
• Experience in banking, financial services, or related industries or strong business acumen