Data Scientist

Company Description

Sentrics Consulting Company Limited is a joint venture between Thai Group Holdings Public Company Limited and PulseMetrics Pte Ltd. The company focuses on advanced analytics and data-driven strategies, specializing in finance, insurance, leasing, retail sectors, and consulting services. Founded in 2020, Sentrics Consulting Company Limited offers data solutions tailored to clients needs.

Role Description

This is a full-time on-site Data Scientist role at Sentrics Consulting Company Limited in Bangkok. The Data Scientist will be responsible for applying machine learning and artificial intelligence techniques to solve real-world business challenges, developing actionable insights, and driving impactful business use cases. The role requires a balance of technical expertise and strategic business mindset to support the company's projects and strategies.

Qualifications

• 0 - 5 years of experience (New graduates are welcome)
• Bachelor's or Master's degree in Engineering / Mathematics / Stats / Data Science / Computer Science or related fields
• Proficient in writing queries in SQL and programming in Python
• Proficient in using data visualization tools such as Tableau and Power BI.
• Proficient in both spoken and written in Thai and English

Key Responsibilities:

• Identify and address business challenges using data science techniques and data analytics, collaborating with stakeholders to understand requirements and develop tailored solutions.
• Perform feature engineering, conduct exploratory and deep-dive analyses to uncover insights or form the patterns of behavior 
• Apply business rule-base criteria together with machine learning techniques to create predictive models that address business needs.
• Develop and enhance propensity to buy model to select potential target group for telemarketing activities, as well as analyzing result for finding room to improve sales performance.
• Drive business use cases by integrating machine learning and AI solutions into workflows, focusing on customer segmentation, personalization, Generative AI (LLM / RAG), AI Agents and more.
• Monitor and refine machine learning models to ensure optimal performance and alignment with business objectives.
• Stay updated with the latest AI/ML trends and assess their applicability to drive value for the organization.
• Develop and maintain dashboards, reports, and insights using tools like Tableau or Power BI to visualize results from advanced analytics or monitor performance of machine learning.
• Communicate findings and actionable recommendations to non-technical stakeholders using clear language and compelling data story telling.