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Skills:

Big Data, Python, Java

Job type:

Full-time

• Control and centralize Activity Management of all VAS (Value Added Service), Cloud, Big data, VAS/IT infrastructure, Application, and Platform/Server.
• Control and set priority of Activity Control Process.
• Follow up and feedback Activity Performance Report to the owner and management.
• Bachelor's degree in Computer Science, IT, Computer Engineering.
• 0-3 years working experience.
• Strong analytical and problem-solving skills.
• Good team player with excellent interpersonal skills.
• Database management skill.
• Having basic programming language skill of Python, Java will be an advantage.
• What we offer
• Generous health and life insurance coverage.
• Retirement plan with employer contributions.
• Opportunities for professional development and career advancement.
• Discounts on AIS products and services.
• About us
• Advanced Info Service Public Company Limited (AIS) is Thailand's leading integrated telecommunications services provider, offering a wide range of mobile, broadband, and digital services to both consumer and enterprise customers. With a strong focus on innovation and customer-centricity, AIS is committed to delivering world-class connectivity and empowering our customers to thrive in the digital age.
• If this exciting opportunity aligns with your skills and aspirations, we encourage you to apply now.

Skills:

ETL, Python, Java

Job type:

Full-time

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize data storage solutions, including data warehouses and data lakes.
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security and access control measures.
• Optimize query performance and data retrieval processes.
• Evaluate and integrate new data technologies and tools.
• Mentor junior data engineers and provide technical leadership.
• Collaborate with cross-functional teams to support data-driven decision-making.
• RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or related roles.
• Strong programming skills in Python, Java, or Scala.
• Extensive experience with big data technologies such as Hadoop, Spark, and Hive.
• Proficiency in SQL and experience with both relational and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Knowledge of data modeling, data warehousing, and ETL best practices.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Experience:

3 years required

Skills:

Python, Instrument, English

Job type:

Full-time

• Analyze market data content (mainly derivative instruments) both structure and unstructured format.
• Lead requirement discussion aspect with relevant parties mainly located in France, UK, US and India.
• Implement python script to manipulate data structure/format and price the financial instrument using both self-created library embedded and/or pre-defined library or Refinitiv quantitative pricing service API.
• Produce minimum level of requirement document.
• Provide 3rd level support of application and relevant systems, flexible and comfortable with European shift time.
• Required skills and experience At least 3 years experience as a software engineer or comparable field.
• Good knowledge in Python programming language and application design.
• Knowledge in database programming.
• Fluent in spoken and written English.
• Strong interest in financial market, trading securities and investment.
• Positive and open attitude, eager to learn new technologies.
• Preferred skills and experience (not required but with advantage) Advance knowledge in statistic and intermediate level in calculus (e.g. partial differential equation).
• Understand concept of financial market and financial instrument especially derivatives.
• Knowledge in derivative instrument pricing theory.
• Experience with stock exchange and/or financial institutional.
• LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Skills:

node.js, Golang, Python

Job type:

Full-time

• Lead and mentor a team of engineers, fostering a collaborative, high-performance environment.
• Partner with product managers to understand user needs and align the team s efforts with product goals.
• Design, develop, and maintain software systems across the stack (frontend, backend, mobile, and infrastructure).
• Experiment with new tools, frameworks, and methodologies to discover innovative solutions.
• Optimize services for performance, scalability, and maintainability.
• Develop intuitive user interfaces using frameworks like React (Next.js) and Svelte (SvelteKit).
• Build and maintain robust backend services with Node.js, Golang, Elixir, or Python.
• Contribute to mobile app development using Flutter.
• Ensure infrastructure stability and scalability using Kubernetes, Docker, and cloud platforms (GCP, AWS).
• Take a proactive role in code reviews, offering and receiving constructive feedback.
• Advocate for and implement high-quality testing practices, including unit and integration tests.
• Collaborate with cross-functional teams to integrate new tools and technologies effectively.
• Basic Qualifications We value skills and a willingness to learn. You should have proficiency in some of the following or be eager to learn them:Backend languages (e.g., Node.js, Golang, Elixir, Python).
• Frontend frameworks (e.g., React, Svelte).
• Mobile development tools (e.g., Flutter).
• In addition, you should:Focus on making the product successful and helping users achieve their goals, not just completing tasks.
• Have experience with Docker, Kubernetes, and cloud infrastructure (GCP, AWS).
• Be familiar with CI/CD pipelines and source control tools like GitHub.
• Understand database systems like PostgreSQL.
• Have a scientist mindset curious, experimental, and open to learning from failure.
• Possess strong communication skills and thrive in collaborative Agile environments.
• Be self-motivated, adaptable, and team-oriented, with a strong work ethic.
• Preferred Qualifications We re especially excited if you bring:Proficiency in at least one backend language, one frontend framework, and mobile development tools.
• A passion for turning our vision into reality and contributing to its success.
• An eye for design and a passion for user-centric product development.
• A deep understanding of product success metrics and a drive to contribute to them.
• Strong system design skills, including the ability to make logical, long-term trade-offs.
• The ability to adapt to a fast-paced, rapidly changing environment, driven by our vision to make an impact.
• Perks & Benefits Flat Structure As we continue to grow fast, we strive to retain our culture where everyone is heard, contributes, and grows with the company..
• Work-life Harmony We believe that quality time outside of work is important to sustaining a healthy and happy lifestyle.
• Remote Work Hybrid-mode activated! It comes with the package: flexibility, focus and productivity!.
• Urban Office One breath from Phrom Phong BTS. No sweat whatsoever! The office should also feel like a second home so we dedicated a lot of care and resources into building the best environment for you to wake up to every morning.
• Fun Workshop The best relationships are built over new experiences, that s why we have workshops filled with a range of activities for you to look forward to and enjoy.
• Game Tournament It s getting fun and competitive! Challenge doesn t only have to come from work. Own the championship and show the peeps how great of a gamer (and player) you are.
• Group Insurance Health comes first, we know, don t worry, we ve got you covered.
• Health & Wellness Only a healthy army wins the war. We invest to take care of you from physical, mental and happiness-level. Adopted health & wellness applications plus activities to make sure everyone here is on cloud nine

Skills:

Data Analysis, Statistics, Python

Job type:

Full-time

• Data Analysis: Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges..
• Model Development: Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization..
• Collaboration: Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions..
• Visualization and Communication: Present insights and findings through visualizations and dashboards to inform decision-making..
• Innovation: Stay updated on the latest tools and techniques in data science and retail analytics..
• Engineer and optimize features to improve machine learning model performance.
• Automate feature extraction pipelines for scalable workflows.
• Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.
• Assist in designing and maintaining data pipelines and ensuring data quality..
• Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field..
• Experience: At least 2 years of experience in data science or a related field..
• Proficiency in Python for data analysis and machine learning.
• Strong SQL skills for managing and querying large datasets.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib).
• Soft Skills: Strong problem-solving, communication, and teamwork abilities..
• Exposure to MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).
• Familiarity with data engineering tools (e.g., Apache Spark, Kafka, Airflow).
• Experience in building real-time analytics or personalization systems.

Skills:

Python, SQL, Java

Job type:

Full-time

• Data Pipeline Development: Design, implement, and maintain data analytics pipelines and processing systems.
• Data Modeling: Apply data modeling techniques and integration patterns to ensure data consistency and reliability.
• Data Transformation: Write data transformation jobs through code to optimize data processing.
• Data Management: Perform data management through data quality tests, monitoring, cataloging, and governance.
• LLM Integration: Design and integrate LLMs into existing applications, ensuring smooth functionality and performance.
• Model Development and Fine-Tuning: Develop and fine-tune LLMs to meet specific business needs, optimizing for accuracy and efficiency.
• Performance Optimization: Continuously optimize LLM performance for speed, scalability, and reliability.
• Infrastructure Knowledge: Possess knowledge of the data and AI infrastructure ecosystem.
• Collaboration: Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
• Continuous Learning: Demonstrate a willingness to learn and find solutions to complex problems.
• Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
• Experience: At least 2 years of experience in data engineering and at least 3 years as data scientist.
• Technical Skills: Proficiency in Python, SQL, Java, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms. Additional, visualization tools i.e Power BI, Tableau, Looker, Qlik.
• Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
• Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
• Desirable.
• System Design: Knowledge of system design and platform thinking to build sustainable solutions.
• Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
• Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
• API Development: Experience with API design to facilitate integration of LLMs with other systems.
• Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
• Visualization Solution: Skills in design and develop dashboard for analytic & insight.
• Agile Methodologies: Experience with agile software delivery and CI/CD processes.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

Skills:

Python, SQL

Job type:

Full-time

• ปฏิบัติงานยัง บริษัท Infinitas by Krungthai
• We are seeking a Data Scientist specializing in credit decision engine development to drive data-driven lending decisions and risk assessment. The ideal candidate will combine strong analytical skills with deep understanding of credit process.
• Model Development & Deployment
• Develop and maintain credit risk assessment and lending decisions modules
• Expertise for handling large financial databases and credit data manipulation
• Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask,
• Fast API) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies
• Monitor model performance to ensure high accuracy and reliability in credit decisions Data Analysis & Risk Assessment
• Clean and preprocess financial datasets, particularly credit lending and risk data
• Conduct advanced statistical analyses to support risk assessment and lending decisions.
• Technical Skills
• Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn)
• Experience with cloud platforms (AWS,GCP) for model deployment
• Knowledge of statistical and machine learning techniques for risk modeling Domain Expertise
• Understanding of credit lending and risk assessment principles
• Experience in financial data analysis within regulatory constraints
• Proven track record in developing credit decision engines (optional)Education & Experience
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field
• Minimum 3 years experience in retail lending or similar role Additional Requirements
• Strong communication skills for presenting complex findings and process flow to management
• Experience with data visualization tools (Tableau, Power BI)
• Ability to work collaboratively with cross-functional teams.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

Skills:

Python, SQL

Job type:

Full-time

• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai
• We seek a skilled Data Scientist to enhance banking through advanced analytics and machine learning. Main responsibility will be transformed complex data into actionable insights and models for risk management, fraud detection, and customer experience optimization. Collaborate with cross-functional teams to implement data-driven strategies that improve business performance and risk management.
• Data Analysis and Modeling
• Develop predictive models for risk assessment and market analysis.
• Design machine learning algorithms for classification, regression and fraud detection.
• Create automated systems for customer behavior analysis.
• Strategic Leadership
• Identify opportunities for data-driven solutions with stakeholders.
• Present analytical findings to executive management.
• Education and Experience
• Bachelor s Degree or higher in Computer Science, Statistics, Mathematics, Engineer or related field.
• Minimum 2 years of experience in financial data science.
• Technical Skills
• Proficiency in Python, and SQL.
• Strong data analysis skills.
• Solid understanding of statistical analysis and modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Domain Knowledge
• Understanding financial markets and banking operations.
• Financial modeling and quantitative analysis expertise.
• Understanding basic fraud detection and anomaly detection.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

Skills:

node.js, Golang, Python

Job type:

Full-time

• Design, develop, and maintain software systems across the stack (frontend, backend, mobile, and infrastructure).
• Work closely with product managers to understand user needs and deliver impactful features.
• Experiment with new tools, frameworks, and methodologies to discover innovative solutions.
• Optimize services for performance, scalability, and maintainability.
• Develop intuitive user interfaces using frameworks like React (Next.js) and Svelte (SvelteKit).
• Build and maintain robust backend services with Node.js, Golang, Elixir, or Python.
• Contribute to mobile app development using Flutter.
• Ensure infrastructure stability and scalability using Kubernetes, Docker, and cloud platforms (GCP, AWS).
• Take a proactive role in code reviews, offering and receiving constructive feedback.
• Advocate for and implement high-quality testing practices, including unit and integration tests.
• Collaborate with cross-functional teams to integrate new tools and technologies effectively.
• Basic Qualifications We value skills and a willingness to learn. You should have proficiency in some of the following or be eager to learn them:Backend languages (e.g., Node.js, Golang, Elixir, Python).
• Frontend frameworks (e.g., React, Svelte).
• Mobile development tools (e.g., Flutter).
• In addition, you should:Focus on making the product successful and helping users achieve their goals, not just completing tasks.
• Have experience with Docker, Kubernetes, and cloud infrastructure (GCP, AWS).
• Be familiar with CI/CD pipelines and source control tools like GitHub.
• Understand database systems like PostgreSQL.
• Have a scientist mindset curious, experimental, and open to learning from failure.
• Possess strong communication skills and thrive in collaborative Agile environments.
• Be self-motivated, adaptable, and team-oriented, with a strong work ethic.
• Preferred Qualifications We re especially excited if you bring:Proficiency in at least one backend language, one frontend framework, and mobile development tools.
• A passion for turning our vision into reality and contributing to its success.
• An eye for design and a passion for user-centric product development.
• A deep understanding of product success metrics and a drive to contribute to them.
• Strong system design skills, including the ability to make logical, long-term trade-offs.
• The ability to adapt to a fast-paced, rapidly changing environment, driven by our vision to make an impact.
• Perks & Benefits Flat Structure As we continue to grow fast, we strive to retain our culture where everyone is heard, contributes, and grows with the company..
• Work-life Harmony We believe that quality time outside of work is important to sustaining a healthy and happy lifestyle.
• Remote Work Hybrid-mode activated! It comes with the package: flexibility, focus and productivity!.
• Urban Office One breath from Phrom Phong BTS. No sweat whatsoever! The office should also feel like a second home so we dedicated a lot of care and resources into building the best environment for you to wake up to every morning.
• Fun Workshop The best relationships are built over new experiences, that s why we have workshops filled with a range of activities for you to look forward to and enjoy.
• Game Tournament It s getting fun and competitive! Challenge doesn t only have to come from work. Own the championship and show the peeps how great of a gamer (and player) you are.
• Group Insurance Health comes first, we know, don t worry, we ve got you covered.
• Health & Wellness Only a healthy army wins the war. We invest to take care of you from physical, mental and happiness-level. Adopted health & wellness applications plus activities to make sure everyone here is on cloud nine

Skills:

Finance, Data Analysis, Python

Job type:

Full-time

• Identify Investment Opportunities: monitor and analyze financial market trends using technical and quantitative methods to uncover timely, strategic investment opportunities aligned with organizational objectives and client needs.
• Develop Strategic Investment Insights: Create and present tailored investment ideas to internal stakeholders and for public communication to support informed decision-making and enhance market credibility.
• Data Management & Analysis: Maintain and optimize financial databases to ensure data ...
• Product Selection & Evaluation: Conduct in-depth, data-driven product evaluations using quantitative metrics to recommend high-performing financial products that support strategic goals.
• Leverage AI for Productivity & Insight: Design and implement AI-driven tools to automate tasks, streamline workflows, and enhance investment analysis, generating actionable insights to support strategic initiatives.
• Qualification Bachelor s degree or higher in Finance, Economics, Data Science, Engineering, or a related field.
• Strong financial expertise with demonstrated experience in investment analysis, product evaluation, and a deep understanding of financial markets, investment products, and portfolio strategies.
• Advanced analytical and technical skills, including proficiency in quantitative modeling, data analysis tools (e.g., Python, R, SQL, Excel), and handling large datasets. Familiarity with AI or machine learning is a plus.
• Excellent analytical, problem-solving and communication skills, with the ability to translate complex data into actionable investment insights.
• CMT, CFA, or other relevant certifications are a plus.
• Interested candidate, please submit your CV to [email protected] We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Skills:

Finance, Statistics, Python

Job type:

Full-time

• เก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
• วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
• ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง.
• การจัดทำรายงานและ Dashboard.
• จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
• นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
• สนับสนุนการทำงานของทีมงานในด้านข้อมูล.
• การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
• พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
• งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีมวิเคราะห์ข้อมูล.
• ปริญญาตรีด้าน Mathematics, Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 2-5 ปีในด้าน Data Analytics หรือ Data Science.
• มีประสบการณ์ด้าน Data Visualization และสามารถนำเสนอข้อมูลได้อย่างมีประสิทธิภาพ ผ่านเครื่องมือที่เหมาะสม.
• มีทักษะการเขียนโปรแกรม เช่น Python, SQL และเครื่องมือ BI เช่น Power BI หรือใกล้เคียง.
• มีประสบการณ์และความเข้าใจในการใช้เทคนิค Machine Learning พื้นฐาน (เช่น Data Clustering, Time series analysis ) ในการวิเคราะห์ข้อมูลที่มีความซับซ้อนหรือข้อมูลขนาดใหญ่.
• หากมีประสบการณ์กับ Cloud Platform (เช่น AWS, GCP, Azure) จะพิจารณาเป็นพิเศษ.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• TSPACE DIGITAL COMPANY.
• ThaiBev Quarter.

Experience:

1 year required

Skills:

Automation, Selenium, Python, English

Job type:

Full-time

• Estimate time plan for each automation project.
• Analyze and Design Component and Script to automation test.
• Use Automation Testing Tool to operate test in test phase.
• Perform software testing activities and report the test result with Robot Framework and/or selenium.
• Work cooperatively with software developers to isolate software defects found in testing process.
• Perform regression testing.
• Escalate Test Result and issue to application owner.
• Bachelor s Degree in Computer Science, Computer Engineering, Information Technology or any related field.
• At least 1 year working in automation testing.
• Good command in Robot framework and/or Selenium.
• Experienced with designing and implementing test.
• Skills in some of these languages; Python, Java, C#, Javascript, PHP or other coding languages.
• Knowledge in both functional and performance testing.
• Pro-active, self-motivated, systematic thinking, faster learning and willing to contribute.
• Able to speak Thai fluently and basic command in English.

Skills:

SQL, Python, Git, English

Job type:

Full-time

• Track the monitoring alerts, investigate the issue, and raise an incident if appropriate.
• Notify the Support Supervisor of incidents, user impact and estimated time to resolve.
• Ensure data workspace governance including row-level security.
• Data Development and Management.
• Develop and maintain BI solutions within Microsoft Fabric, using Data Lake, Dataverse, and Pipelines.
• Build and optimize Dataflows and manage semantic models, integrate data from multiple sources using Power Query, SQL, and Python within the Fabric ecosystem.
• Utilize Git for source control and Azure DevOps for deployment pipelines and version tracking of Power BI and Fabric artifacts.
• Data Analysis & Power BI Reporting.
• Translate business requirements and maintainable technical specifications.
• Create and maintain dashboards and reports in Power BI.
• Ensure performance optimization and effective user experience in reports and datasets.
• Data Quality.
• Clean and validate data to ensure accuracy, completeness, and reliability.
• Document and maintain data definitions, metrics, and business logic across datasets.
• Collaboration.
• Work alongside teams within the business or management to establish business needs and define new data collection and analysis processes.
• Provide training and guidance to business users on data access and report usage.
• Benefit.
• Provident Fund.
• Yearly Performance Bonus.
• Diligence Allowance.
• Annual leave starts at 12 days. 15 day after 1 year.
• Public holiday standard at 17 days.
• Group Insurance (Life insurance & Health insurance).
• Laptops provide.
• Moral support such as marriage, Funeral.
• Emergency Loan without interest.
• Company outing trip.
• Bachelor s degree in computer science, Data Science, Mathematics.
• 3+ years as a data analyst or similar role.
• Can Work and Communicate Well in English, spoken and written.
• Experience in a construction-related business is ideal.
• Experience in an international company within mid-to-large enterprise environments is a plus.
• Quantitative Analysis: A strong foundation in statistical methods, probability, and mathematical modeling is crucial. You should be comfortable working with large datasets and performing predictive analytics.
• Technical Proficiency: Knowledge of programming languages like SQL, Python, or R, and familiarity with data visualization tools such as Microsoft Fabric ecosystem, including Power BI, Lakehouse, Pipelines, and Dataflows Gen2 is necessary.
• You should also understand database management and be adept at using spreadsheets or specialized software.
• Power Query and DAX: Proficiency in using Power Query and writing expressions using Data Analysis Expressions (DAX) is important for manipulating and analyzing data within PowerBI.
• Data Quality Assessment: You need to know how to assess data quality and understand data security, including row-level security and data sensitivity.
• Communication Skills: Excellent verbal and written communication skills are essential for explaining complex data insights in a clear and understandable manner.
• Problem-Solving Skills: Strong analytical and problem solving skills will help you tackle the challenges that come with interpreting data and turning it into actionable insights.
• Interpersonal Skills: As you will be working closely with business teams, good customer service and interpersonal skills are important for collaboration and understanding of business needs.

Skills:

SQL, Python, SAS, English

Job type:

Full-time

• Lead the end-to-end development of Health analytics infrastructure, translating complex business problem statement into robust analytical solutions that support FWD strategic goals.
• Collaborate with Group Office and cross-functional teams to design and maintain advanced statistical models and analytical tools (e.g., SQL, Python, SAS, R), ensuring scalability, accuracy, and alignment with portfolio performance analysis.
• Decision Enablement and Business Impact.
• Lead the planning and execution of cross-functional analytics initiatives to develop predictive & statistical models and early warning systems for emerging health trends, fraud risk mitigation, and operational efficiencies.
• Partner with data and health operations teams to lead and drive AI/ML initiatives that enhance analytics capability, automate insights generation, and improve decision quality in key health domains.
• Provide strategic insights by synthesizing internal data and external market intelligence to influence underwriting, sales, and operations, enabling evidence-based decision making at executive levels.
• Champion the adoption of Group Office and enterprise-wide analytics best practices, positioning the analytics team as a proactive business partner in driving long-term impact for Health business.
• Portfolio Monitoring/Business Planning.
• Oversee the end-to-end delivery of monthly health portfolio performance reports on experience (Loss/Lapse/Expense) to ensure data accuracy and timely insights for strategic review.
• Analyze and synthesize reporting outputs into clear, actionable commentaries for local senior leadership and Group Office, enabling informed decision-making.
• Support the Strategy/Finance teams by contributing to the development and planning of Health business plans.
• Identify portfolio risks and growth opportunities by proactively monitoring health insurance trends and performance indicators, and recommend strategic interventions or pricing adjustments to senior management.
• Bachelor s degree (or higher) in Actuarial Science or related field.
• Progress toward an associate of international recognized actuarial bodies e.g. SoA/IFoA/IAA.
• 8+ years of experience on Health Portfolio Analytics, management, or pricing.
• Good communication in both Thai and English.

Experience:

3 years required

Skills:

Python, SQL, Analytical Thinking, English

Job type:

Full-time

• English as working language.
• Minimum of 3 years data analytics related working experiences.
• At least 1 year of working experience directly communicate to business team.
• Proficient in Python or SQL.
• Advanced hands on experiences with visualization tool.
• Strong communication and analytical thinking skills.
• Good balance of data and business knowledge.
• Fintech or banking industry.
• Internet companies with mobile application.
• Contact: [email protected].
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with. ".

Skills:

SQL, Python

Job type:

Full-time

• Bằng cử nhân hoặc kinh nghiệm thực tế tương đương.
• 10 năm kinh nghiệm trong lĩnh vực phân tích tiếp thị, tư vấn chiến lược, lập mô hình tài chính hoặc phân tích thống k&ecirc.
• 5 năm kinh nghiệm ở vai trò lãnh đạo bán hàng và quản lý nhân sự, bao gồm cả huấn luyện, cố vấn và phát triển đội nhóm.
• Kinh nghiệm sử dụng các công cụ phân tích tiếp thị (ví dụ: khung thử nghiệm, mô hình phân bổ, đo lường theo mức độ gia tăng, phương pháp thống kê, SQL, R, Python và nhiều công cụ khác).
• Khả năng gây ảnh hưởng và giao tiếp hiệu quả với các phòng ban liên ngành ở mọi cấp quản lý, cả trong nội bộ lẫn bên ngoài.
• Nhóm Lập kế hoạch và đo lường là một bộ phận quan trọng trong mảng quảng cáo của Google, có nhiệm vụ giúp khách hàng hiểu được giá trị và tác động từ các chiến dịch của h&#7885.
• Khi đảm nhiệm vai trò này, bạn sẽ là một cố vấn, chuyên gia tư vấn đáng tin cậy, phối hợp chặt chẽ với cả ban lãnh đạo của Google lẫn các giám đốc cấp cao để xây dựng, triển khai các chiến lược tiếp thị mạnh mẽ, giúp thúc đẩy hoạt động kinh doanh. Bạn sẽ khai thác dữ liệu và công nghệ tiên tiến của Google để cung cấp thông tin chi tiết hữu ích, giúp cải thiện hiệu quả quảng cáo cũng như thúc đẩy kết quả kinh doanh. Bạn sẽ hỗ trợ việc thúc đẩy các phương pháp đo lường hiệu quả hơn cho danh mục khách hàng trong lĩnh vực thương mại điện tử, trò chơi và du lịch.
• Các nhóm thuộc khối Khách hàng chiến lược (LCS) của Google là các đối tác chiến lược và cố vấn đầu ngành, đồng hành cùng các thương hiệu và công ty quảng cáo hàng đầu thế giới. Chúng tôi không ngừng khuyến khích khách hàng tư duy về hoạt động kinh doanh của họ, đồng thời thúc đẩy cách Google có thể hỗ trợ họ tăng trưởng. Chúng tôi tập trung vào việc giúp các khách hàng này thích ứng với những thay đổi lớn trong ngành và thúc đẩy hiệu suất kinh doanh vượt trội bằng cách cung cấp trọn bộ giải pháp quảng cáo của Google ở mức giá cạnh tranh trên Google Tìm kiếm, YouTube, Đo lường, và nhiều nền tảng khác. Là một thành viên của nhóm LCS, bạn sẽ có cơ hội đặc biệt để bán những công nghệ tiên tiến nhất, làm việc với các quản lý cấp cao, tác động đến các chiến lược định hình thị trường và tạo ra những kết quả hữu hình, có ảnh hưởng đáng kể đến các doanh nghiệp lớn trên toàn cầu, cũng như thúc đẩy sự tăng trưởng của Google.
• Hỗ trợ và tư vấn về chiến lược của khách hàng/đối tác trong các lĩnh vực bán hàng, tiếp thị hoặc phát triển sản phẩm, đồng thời chuyển đổi dữ liệu thành câu trả lời cho các câu hỏi kinh doanh hoặc thành thông tin chi tiết để giúp họ dễ dàng đưa ra quyết định kinh doanh.
• Phát triển và chịu trách nhiệm về mô hình điều tra cho các dự án quan trọng của khách hàng/đối tác, áp dụng hoặc tuỳ chỉnh các công cụ và khung điều tra nhằm xác định cơ hội, đồng thời phát triển các giải pháp giúp tối ưu hoá hoạt động kinh doanh của khách hàng/đối tác và tối đa hoá việc sử dụng cũng như tính hiệu quả cho các sản phẩm của Google.
• Phối hợp với các nhóm Bán hàng để thúc đẩy tăng trưởng kinh doanh, tiến hành phân tích chuyên sâu và xác định cơ hội kinh doanh, đồng thời hỗ trợ phát triển bản thuyết trình kinh doanh cũng như tài liệu hỗ trợ tiếp thị phục vụ việc tiếp cận thị trường.
• Xây dựng và quản lý mối quan hệ với các bên liên quan của khách hàng/đối tác ở nhiều phòng ban chức năng và cấp bậc, đồng thời phụ trách mối quan hệ với các bên liên quan về dữ liệu/điều tra ở phía khách hàng/đối tác.
• Dẫn dắt một đội ngũ nhân viên, thiết lập và truyền đạt các ưu tiên của nhóm nhằm hỗ trợ các mục tiêu của tổ chức.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Skills:

Digital Marketing, Statistics, Python

Job type:

Full-time

• Drive clear and effective business translation of AI/ML products between business and technical stakeholders.
• Design, develop and leverage Advanced analytics, Artificial Intelligence (AI) and Machine Learning (ML) models to support digital marketing, MarTech, AdTech, and hyper-personalization initiatives.
• Analyze Big Data to develop effective predictive and recommendation models.
• Collaborate closely with Product Owners, IT teams, and Data teams to implement AI solutions that improve marketing campaign performance.
• Continuously refine and enhance AI models through testing and performance evaluation.
• Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/MLprojects..
• Bachelor s Degree or higher in Computer Science, Computer Engineering, Data Science, Statistics, or any related field.
• Minimum of 2 years in AI/ML engineer, cloud solution or a related field.
• Proficiency in some of the following: Python, PySpark and SQL etc.
• Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus.
• Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
• Ability to communicate and collaborate with cross-functional teams.
• Growth mindset and openness to continuously learning and facing new projects and new technologies.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

Skills:

Research, Statistics, Python, English

Job type:

Full-time

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
• Solve complex problems on both technical and business sides using advanced analytical methods.
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capability.
• Basic Qualifications Bachelor s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark).
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical problem-solving capabilities.
• Preferred Qualifications Master s or PhD degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Experience:

3 years required

Skills:

Javascript, HTML5, CSS, Python, node.js, English

Job type:

Full-time

• ERP MaintenanceMaintain, troubleshoot, and enhance our enterprise resource planning (ERP) system.
• Implement new features and functionalities based on business requirements.
• Optimize database performance and ensure data integrity.
• Provide technical support for ERP-related issues.
• Part-Time IT ResponsibilitiesAssist with general IT support and troubleshooting.
• Help maintain internal systems and networks.
• Support team members with technical issues.
• Contribute to IT documentation and standard operating procedures.
• DevOpsImplement and maintain CI/CD pipelines.
• Configure and optimize cloud infrastructure.
• Monitor system performance and implement improvements.
• Ensure high availability and disaster recovery procedures are in place.
• Automate routine operations and deployment processes.
• 3+ years of experience in full-stack development.
• Strong proficiency in front-end technologies (JavaScript, HTML, CSS, React/Angular/Vue).
• Experience with back-end development using languages like Python, Java, or Node.js.
• Knowledge of database management systems (SQL and NoSQL).
• Familiarity with ERP systems and their maintenance.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Understanding of DevOps principles and tools (Docker, Kubernetes, Jenkins, etc.).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.

Skills:

Python, ASP.NET, .NET

Job type:

Full-time

• กำกับดูแล Data Pipelines ที่มีการใช้งานจริง และควบคุมงานการสร้าง Data Pipeline ใหม่ รวมถึงการดำเนินการตาม SLA ที่วางแผนร่วมกันกับทีมที่เกี่ยวข้อง.
• ศึกษาเทคโนโลยีใหม่ๆ เพื่อเป็นปรับปรุง Data Pipeline ให้สามารถตอบสนองผู้ใช้งาน รวมถึงความต้องการของทางธุรกิจให้ดีขึ้น.
• ศึกษาทำความเข้าใจระบบต่างๆที่ต้องนำข้อมูลมาจัดให้อยู่ในรูปแบบมาตรฐานและเก็บรวมกันเป็น Single source of truth รวมถึงศึกษาความต้องการใช้ข้อมูลของผู้บริหารในหน่วยธุรกิจ (business unit) ร่วมวางแผนโครงการ, นำเสนองบประมาณและแนวทางดำเนินงาน, นำเสนอข้อมูลทางเล ...
• ออกแบบ และพัฒนา Data Pipeline.
• ออกแบบ Data Pipeline ภายใต้การกำกับดูแลของผู้จัดการงานออกแบบและพัฒนาระบบฐานข้อมูล.
• กำกับดูแล Data Architecture และพัฒนา Data Pipeline.
• กำกับดูแลรับข้อมูลซึ่งมีทั้งแบบ data streaming และ data batch รวมถึงนำส่งข้อมูลให้กับ BU ต่างๆ.
• กำกับดูแลการทดสอบ Data Pipeline ที่ได้ วางแผนการขึ้นระบบของซอฟต์แวร์ร่วมกับผู้ใช้.
• กำกับดูแลการจัดทำเอกสาร คู่มือ การใช้งานซอฟต์แวร์ที่ได้พัฒนาและระบบที่เกี่ยวข้อง เพื่อเป็นเอกสารอ้างอิงการใช้งาน และอ้างอิงในการพัฒนาต่อยอดของซอฟต์แวร์.
• ประสานงานกับหน่วยงานที่เกี่ยวข้องเพื่อแก้ไขปัญหา หรือพัฒนาระบบ.
• กำกับดูแล Data Architecture รวมถึงการพัฒนา Data Pipeline ของเจ้าหน้าที่การออกแบบและพัฒนาระบบ.
• หากมีประสบการณ์ Data Modeling และสามารถออกแบบ Data Architecture ได้ พัฒนาโครงสร้างข้อมูลให้สอดคล้องกับความต้องการของหน่วยธุรกิจ สามารถทำ Logical / Physical Data Model และเข้าใจหลักการจัดการข้อมูล จะพิจารณาเป็นพิเศษ.
• ปริญญาตรีสาขาคอมพิวเตอร์หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ทางด้าน Data Engineer/ Data Architect อย่างน้อย 3 ปี.
• มีความเข้าใจในงาน Data Engineer สามารถทำ Data Pipeline ทั้งในรูปแบบ Batch และ Stream.
• สามารถเขียนและใช้งาน Python, ASP.net C#, MSSQL, MySql.
• สามารถเขียนและใช้งาน Golang, Kafka, Debezium CDC, Apache Airflow, Apache Spark, MongoDB (ถ้ามี).
• มีทักษะการใช้งาน Database.
• มีทักษะในการใช้ SQL.
• มีทักษะในการใช้ Pivot Table.
• มีทักษะในการทำ Performance Tuning ของระบบฐานข้อมูล.
• มีทักษะ Critical thinking and Problem solving.
• ติดต่อสอบถาม.
• สำนักทรัพยากรบุคคล.
• บริษัท ไทยเบฟเวอเรจ จำกัด (มหาชน).
• อาคารเล้าเป้งง้วน 1 333 ถนน วิภาวดีรังสิต จอมพล เขตจตุจักร กรุงเทพมหานคร 10900.