The CEG Data Analytics Intern joins Agoda’s Customer Experience Group data analytics team in Bangkok for a 10-week summer internship from May 24 to July 30, 2027. The intern supports data-driven insight and strategy for business leaders by analyzing customer and booking data, visualizing results, and working on cost-saving, efficiency, predictive analytics, and A/B testing initiatives. The role involves identifying opportunities to improve Customer Experience Agent productivity and assessing how improved agent performance affects customer satisfaction and loyalty. Applicants must be pursuing a relevant bachelor’s degree, be proficient in SQL and Excel, and demonstrate strong analytical, business, communication, organization, and problem-solving skills. Experience with Python, R, Tableau, VBA, or standard machine-learning techniques is preferred.
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RWS TrainAI is hiring AI Data Specialists to support the improvement of AI-generated content in Thai on a freelance, work-from-home basis. The part-time role requires a flexible schedule of 10+ hours per week with an immediate start date and a rate of 8 USD per hour (rates vary by country). Responsibilities include data collection, evaluation, and annotation, pairwise comparisons, counting tasks, and object tagging and labeling across audio, video, images, or other collected data. Candidates must have native-level Thai fluency and fluent or advanced English proficiency (B2–C2), with experience in machine learning tasks, data collection and preprocessing, data evaluation, or data annotation preferred.
This role supports management on business strategy and planning for driver supply within ShopeeFood, the company's food delivery service. Key duties include defining and executing strategy to improve business growth, efficiency, and P&L; analyzing short to medium term supply growth issues such as driver segmentation, conversion funnel optimization, churn analysis, market scans, and experimentation; forecasting costs for weekly, monthly, and quarterly planning cycles; and building presentations to influence senior stakeholders with data-driven recommendations. The position requires 2-3 years of relevant experience in technology firms, financial services, or top-tier management consulting. Candidates should be confident in processing complex data sets using Excel, possess an analytical mindset with strong business acumen, and have experience with AppAnnie, SQL, Tableau, and Google Suites. Advanced statistical modeling skills are a plus, along with a start-up attitude and passion for building a new consumer business.
Thai Union Group PCL is hiring a Business Intelligence (BI) Developer at Deputy Department Manager level, based at the SM Tower corporate office in Bangkok. The role focuses on building scalable data models and orchestrating modern BI solutions on Google Cloud Platform (GCP), delivering insights through Power BI and complementary tools such as Looker. The position partners with business users, data engineers, and data scientists to enable enterprise-wide analytics, governance, and self-service reporting. The role requires a bachelor's degree in Computer Science, Data Science, Engineering, or a related field and 10+ years of experience in BI, data engineering, or analytics. Candidates must have deep expertise in Power BI (DAX, Power Query, RLS, Premium workspaces) and advanced proficiency in Google BigQuery, including SQL optimization and performance tuning. Preferred skills include Python, SQL, dbt, Git, JIRA, Agile, CI/CD, and relevant certifications such as Google Professional Data Engineer or Power BI Data Analyst Associate.
Deloitte is seeking a graduate analyst for its Engineering, AI & Data portfolio in Thailand. The role supports project teams applying emerging technologies to help clients use data for actionable insights and business outcomes, while collaborating with consulting teams on practical and visionary client solutions. The analyst helps design data structures, analytical models, and BI/DW reporting solutions; supports data integration, governance, data quality, MDM, and metadata management; and applies predictive models using tools such as DataRobot, Python, or R. Candidates must be final-year students or recent graduates with up to two years of experience, a relevant degree, programming proficiency, and an understanding of AI and machine learning.
A large-scale technology organisation is hiring a Lead/Staff Data Engineer to join a high-impact team at the intersection of data engineering, business analytics, ML engineering, and backend engineering. The team builds pipelines, platforms, and tools that enable Data Science and Performance Marketing teams to run experiments in production at scale. The role involves end-to-end ownership of systems that allow experiments to launch in production at pace, partnering with experienced engineers and product owners. Candidates need a Bachelor's degree in Computer Science or a related field, 6+ years of software engineering experience including 4+ years in data/ML engineering, and expert-level skills in SQL, Python3, and a JVM-based language (Java or Scala). Familiarity with machine learning concepts, statistical analysis, and modern data/ML stacks (Spark, Hadoop, S3) is required. Relocation sponsorship is provided.
Senior individual contributor role leading the design and improvement of machine learning-powered solutions in a production environment. The position focuses on complex user-facing AI systems, driving experimentation and model improvement, and collaborating with cross-functional teams to turn ambiguous problems into scalable solutions. The role requires proven experience as a Staff Data Scientist, Applied Scientist, or ML Engineer with end-to-end ownership of ML or LLM initiatives. Candidates need strong hands-on experience with ML platforms in production, solid fundamentals in machine learning and statistics, and the ability to communicate complex technical ideas to diverse stakeholders. An advanced degree in a quantitative discipline is preferred.
Sertis, an ASEAN data and AI engineering company based in Bangkok, is hiring a Data Engineer Intern to support real-world data pipeline projects. The intern will work with experienced data engineers to collect, transform, and organize data from multiple sources, implement ETL processes, and monitor infrastructure performance. The role offers hands-on exposure to data engineering for AI/ML use cases, containerization technologies, and collaboration with an international team. Candidates should be pursuing a Bachelor's degree in Computer Science or a related field, with knowledge of SQL and Python. Basic familiarity with Docker, containerization, and big data tools such as Spark, Hadoop, or Hive is expected, along with an interest in public cloud technologies and the ability to learn new technologies quickly.
UOB (Thai) Public Company Limited is hiring a Data Analytics Manager for its Bangkok City Area operations. The role involves collaborating with stakeholders to translate business needs into technical specifications, designing and developing scripts on HUE Cloudera, and conducting UAT and production deployment. Responsibilities include collecting and analyzing large datasets using Power BI, Hue, Impala, and Hive, building dashboards, designing data models and algorithms, performing data integrity audits, and maintaining SQL queries and Power BI dashboards to support management decision-making. The position requires a Bachelor's or higher degree in Data Science, Computer Science, Statistics, or a related field, plus at least 5 years of banking sector experience. Candidates must be proficient in SQL, Python, R, Excel, and Power BI, with strong analytical, communication, and collaboration skills, and fluency in written and spoken English.
Data Analyst role within the Data Analytics team of the Investment Solutions Department at Kiatnakin Phatra Securities Public Company Limited, a leading onshore wealth manager. The position supports wealth management by collecting and interpreting data, designing the data environment, generating insights for management decisions, preparing reports and presentations, and acting as a data steward. The role collaborates with other departments and external vendors to define requirements and ensure delivered solutions meet business needs. The role requires a Bachelor's or Master's degree in Computer Science, Computer Engineering, Applied Statistics, or a related field, with 3-5 years of experience as a data or business analyst. Candidates should have experience with large data sets and relational databases, knowledge of data visualization tools such as Power BI or Tableau, and working knowledge of programming languages such as SQL, Python, R, or Java.