At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You’ll Get to * Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. * Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation. * Work with developers and a variety of business owners to deliver daily results with the best quality. * Research discover and harness new ideas that can make a difference What You’ll Need to Succeed * 4+ years hands-on data science experience. * Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. * Significant proficiency in SQL and languages like Python, PySpark and/or Scala. * Can lead, work independently as well as play a key role in a team. * Good communication and interpersonal skills for working in a multicultural work environment. It’s Great if You Have * PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields * Experience in NLP, image processing and/or recommendation systems * Hands on experience in data engineering, working with big data framework like Spark/Hadoop * Experience in data science for e-commerce and/or OTA We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
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**Roles and Responsibilities** * Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark. * Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud. * Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow. * Implement data security and compliance measures to protect data privacy and ensure regulatory compliance. * Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data. * Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team. * Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise. **Qualifications** * Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. * Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure. * Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python. * Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP. * Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink. * Knowledge of data modeling principles and experience working with SQL databases. * Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently. * Excellent communication and collaboration skills to work effectively with cross-functional teams.
The Analytics role sits within the Digital & Technology division of KKP (Kiatnakin Phatra Bank) in Bangkok. The position focuses on identifying customer acquisition opportunities, optimizing lead generation, and developing cross-sell/upsell strategies through data-driven insights. Responsibilities include campaign performance analysis, A/B testing, dashboard development, regulatory reporting automation, datamart design, and translating business challenges into analytical solutions. Candidates should have 0 to 3 years of experience in Business Intelligence or Data Analytics, preferably within marketing or customer acquisition. Required skills include Python, PySpark, and SQL for large-scale data processing, along with hands-on experience in A/B testing, campaign optimization, dashboard tools (Power BI, Tableau, Databricks), and datamart deployment. A solid understanding of the financial industry is expected.
Data Analyst role at Kiatnakin Phatra Bank Public Company Limited (kkp) in Bangkok, within the Digital & Technology division. The position focuses on identifying customer acquisition opportunities, analyzing campaign performance, designing A/B tests, building dashboards, automating regulatory reports, and deploying datamarts to support marketing and sales teams. Candidates should have 0-3 years of experience in BI or data analytics, proficiency in Python, PySpark, and SQL, and hands-on experience with marketing analytics, dashboard tools, and datamart deployment. Strong analytical, communication, and cross-functional collaboration skills are required, along with familiarity with the financial industry.
CP Axtra (Makro) is hiring a Senior Data Scientist based in Nawamin, Bangkok, to design and deliver AI, machine learning, and automation solutions supporting retail and digital transformation initiatives. The role builds scalable data pipelines, feature engineering workflows, and predictive models, and applies machine learning, statistical analysis, forecasting, and experimentation to business problems. The Senior Data Scientist implements MLOps practices including deployment, monitoring, retraining, and CI/CD, develops GenAI/LLM applications and automation tools, and works in Agile/Scrum ceremonies. Candidates need a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field, 5+ years of experience in Data Science, ML, or Applied AI, strong Python and SQL skills, and hands-on experience with frameworks such as Scikit-learn, TensorFlow, or PyTorch, plus PySpark and Azure Databricks.
Capco is hiring a Data Engineer (Intermediate/Senior) to design and implement reusable data ingestion and transformation pipelines within a Data Lake or Lakehouse implementation programme. The role collaborates with Data Architects, Business Analysts, BI developers, and client technology teams. The engineer will develop batch, CDC, and streaming ingestion pipelines; implement Bronze, Silver, and Gold data layers; build reusable pipelines and data products; and add data quality, reconciliation, validation, and monitoring controls. The role also supports migration, integration testing, UAT, production release, knowledge transfer, and BAU handover.
This role focuses on owning pipeline-standardization and data-quality programs for an enterprise lakehouse. The Senior Data Engineer will ship compliance gates to block non-compliant deployments, establish a data-quality framework, and build dashboards to ensure business trust. The position involves driving measurable reductions in data incidents and leading the migration of legacy pipelines to standard practices.