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Experience:

5 years required

Skills:

Python, ETL, Compliance

Job type:

Full-time

• 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.
• 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.
• Location: True Digital Park, Bangkok (Hybrid working).

Skills:

Excel, Python, Power BI

Job type:

Full-time

• Identify and provide list of non-performing inventory, never been sold inventory, non-Planogram, Inventory to Merchandise & Buyer, follow up action and simulate impact from Mark down price.
• Analyze root cause which impact to non-performing inventory increasing and provide conclusion and recommendation for next step action in term of work in a process with relevant parties.
• Work with Store Operations to follow up execution to clear these inventory.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
• Have experience in Data analyst, Inventory Analyst, Inventory Planning at least 3-5 Years.
• Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Power Query, Tableau.
• Have experience in Retail business /FMCG would be advantage.
• Good Analytic skills.

Skills:

PHP, Python

Job type:

Full-time

• พัฒนาระบบ Web Application, Mobile Application โดยใช้ C#, Angular, PHP หรือ Python.
• ศึกษาและวิเคราะห์กระบวนการทำงานปัจจุบันเพื่อนำไปปรับปรุงกระบวนการให้ดีขึ้นอยู่เสมอ.
• ดำเนินการพัฒนาโปรแกรมและจัดการสร้างฐานข้อมูลได้อย่างมีประสิทธิภาพ.
• ดำเนินการทดสอบระบบตามความต้องการ (Requirement Spec) พร้อมทั้งทดสอบ Test script ร่วมกับทีมพัฒนาระบบ และจัดทำรายงานผลการทดสอบเพื่อนำเสนอต่อผู้บริหาร.
• ติดตามการดำเนินงานและอัพเดทแผนงาน เพื่อรายงานความคืบหน้าโครงการต่อผู้บริหารได้.
• ศึกษาทำความเข้าใจกระบวนการทำงานของธุรกิจ และ สามารถวิเคราะห์ประเด็นปัญหา/ความต้องการทางธุรกิจได้ (Business Process).
• ศึกษารายละเอียดโครงการเพื่อจัดทำแผนการดำเนินงาน,ข้อมูลทางเลือก, และนำเสนอต่อต่อผู้บริหารเพื่ออนุมัติ.
• จัดทำเอกสารคู่มือการใช้งานระบบที่พัฒนาและระบบที่เกี่ยวข้อง เพื่อเป็นเอกสารอ้างอิงการใช้งานและใช้ในการอ้างอิงเพื่อพัฒนาต่อยอดระบบใน Phase ต่อไป.
• ดำเนินการฝึกอบรมการใช้งานให้กับผู้ใช้งานระดับต่างๆ ให้เป็นไปตามวัตถุประสงค์ของการพัฒนาระบบ.
• ศึกษาและติดตามการเปลี่ยนแปลงของเทคโนโลยีใหม่ๆ โดยสามารถนำสิ่งที่เรียนรู้มาประยุกต์ใช้ในงานได้อย่างมีประสิทธิภาพ.
• ปริญญาตรีด้านวิทยาการคอมพิวเตอร์, คอมพิวเตอร์ธุรกิจ, เทคโนโลยีสารสนเทศ หรือ สาขาที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานในส่วนงานที่เกี่ยวข้องอย่างน้อย 3 ปีขึ้นไป.
• มีทักษะการสื่อสารที่ดี.
• สำนักทรัพยากรบุคคล บริษัท ช้างอินเตอร์เนชั่นแนล จำกัด (สำนักงานใหญ่) อาคารไทยเบฟควอเตอร์ ชั้น 8,9 ถนนรัชดาภิเษก แขวงคลองเตย เขตคลองเตย กรุงเทพมหานคร 10110.

Experience:

3 years required

Skills:

Big Data, ETL, SQL, Python

Job type:

Full-time

• Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Experience in Generative AI is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

Skills:

Project Management, SQL, Python, English

Job type:

Full-time

• Adjust language models that have already been trained for generative AI applications Ensure that the LLMs and pipelines based on LLMs are tuned and released.
• Create and implement LLMs for various content creation jobs Develop and communicate roadmaps for data science projects.
• Design effective agile workflows and manage a cycle of deliverables that meet timeline and resource constraints.
• Serve as a bridge between stakeholders and AI suppliers to facilitate seamless communication and understanding of project requirements.
• Work closely with external AI suppliers to ensure alignment between project goals and technological capabilities.
• Identify and gather data sets necessary for AI projects.
• Prior experience in Machine Learning, Deep Learning, and AI algorithm to solve respective business cases and pain points.
• Prior hands-on experience in data-mining techniques to better understand each pain point and provide insights.
• Able to design and conduct analysis to support product & channel improvement and development.
• Present key findings and recommendations to business counter parties and senior management on project approach and strategic planning.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• Native Thai speaker & fluent in English.
• 3+ years of proven experience as a Data Scientist with a focus on project management (Retail or E-Commerce business is preferable).
• At least 2+ years of relevant experience as an LLM Data Scientist Experience in SQL and Python (Pandas, Numpy, SparkSQL).
• Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources.
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
• Experience in machine learning and deep learning (Tensorflow, Keras, Scikit-learn).
• Good Knowledge of Statistics.
• Experience in Data Visualization (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Having good attitude toward team working and willing to work hard.

Skills:

Automation, Assurance, Python

Job type:

Full-time

• Develops testing programmes throughout the entire technologies lifecycles that address areas such as functionality, compatibility, reliability and usability.
• Leads a wide range of quality control planning and execution activities in alignment with the organisation's standards and strategy to ensure that software meets or exceeds specified business and customer needs.
• Brings together testing requirements by evaluating the product requirement specifications (functional / non-functional) and raise clarifications with product owners, bu ...
• Develops, implements and maintains test scripts/cases autonomously- manual, automation, performance, and supporting analysis. Assigns required tests to Associates.
• Leads the ongoing maintenance of customer technologies, resolving issues and advancing where necessary.
• Recommends and supports the implementation of improvements to quality control frameworks, processes and standard methodologies.
• Builds trusting relationships with team and colleagues, collaborating closely with the team.
• Communicates clearly with and keeps clear lines of communication open to ensure full understanding of tasks, asking questions where needed.
• Qualifications & Experience: Degree in Computer Science, Software Engineering or equivalent.
• ISTQB Core Advanced Certified or equivalent is a plus.
• Exhibits good knowledge in software quality assurance processes and methodologies.
• Experience in Automate testing.
• Ability to code in Python or Java.
• Exhibits good experience in the software development life cycle and one programming language, preferably in multi-tiered applications.
• At LSEG Bangkok, you can be your best self. Our open and inclusive culture and collaborative communities connect colleagues from across the world, and a host of skill development programmes support our people's personal and professional growth. 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.

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

Skills:

Automation, Product Owner, Python

Job type:

Full-time

• The candidate will be responsible for design, and implement new solutions for complex data ingestions from multiple sources to enterprise data products with focus on automation, performance, resilience and scalability, etc.
• Partner with Lead Architect, Data Product Manager (Product Owner) and Lead Data Integration Engineer to create strategic solutions introducing new technologies.
• Work with stakeholders including Management, Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Strong development & programming experience in Informatica (IICS), Python, ADF, Azure Synapse, snowflake, Cosmos and Databricks.
• Solid understanding of databases, real-time integration patterns and ETL/ELT best practices.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• Responsible for ensuring enterprise data policies, best practices, standards and processes are followed.
• Write up and maintain technical specifications, design documents and process flow.
• Mentor a team of onshore and offshore development resources to analyze, design, construct and test software development projects focused on analytics and data integration.
• Elaborate user stories for technical team and ensure that the team understands the deliverables.
• Effectively communicate, coordinate & collaborate with business, IT architecture and data teams across multi-functional areas to complete deliverables.
• Provide direction to the Agile development team and stakeholders throughout the project.
• Assist in Data Architecture design, tool selection and data flows analysis.
• Work with large amounts of data, interpret data, analyze results, perform gap analysis and provide ongoing reports.
• Handle ad-hoc analysis & report generation requests from the business.
• Respond to data related inquiries to support business and technical teams.
• 6+years of proven working experience in ETL methodologies, Data integration and data migration. Informatica IICS, Databricks/Spark & Python hands-on development skills a must.
• Clear hands-on experience with database systems - SQL server, Oracle, Azure Synapse, Snowflake and Cosmos, Cloud technologies (e.g., AWS, Azure, Google), and NoSQL databases (e.g., Cosmos, MongoDB, DynamoDB).
• Extensive experience developing complex solutions focused on data ecosystem solutions.
• Extensive knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• In depth knowledge of data engineering and architecture disciplines.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Solid understanding of P&C Insurance data.
• Technical expertise regarding data architecture, models and database design development.
• Strong knowledge of and experience with Java, SQL, XML s, Python, ETL frameworks and Databricks.
• Working knowledge/familiarity with Git version control.
• Strong Knowledge of analyzing datasets using Excel.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficient in learning new technologies with the ability to quickly understand capabilities and work with others to guide these into development.
• Good communication and presentation skills.
• Solid problem solving, decision making and analytical skills.
• Knowledge & working experience with Duck creek is an added plus.
• Knowledge & working experience with Insurity Policy Decisions and/or IEV is an added plus.
• Experience with JIRA.
• Experience being part of high-performance agile teams in a fast-paced environment.
• Must understand the system scope and project objectives to achieve project needs through matrix management and collaboration with other enterprise teams.
• Proven ability to produce results in the analysis, design, testing and deployment of applications.
• Strong team emphasis and relationship building skills; partners well with business and other IT/Data areas.
• Strong coaching / mentoring skills.
• Applies technical knowledge to determine solutions and solve complex problems.
• Ability to be proactive, self-motivated, detail-oriented, creative, inquisitive and persistent.
• Excellent communication and negotiation skills.
• Ability to organize, plan and implement work assignments, juggle competing demands and work under pressure of frequent and tight deadlines.
• The candidate will be responsible for design, and implement new solutions for complex data ingestions from multiple sources to enterprise data products with focus on automation, performance, resilience and scalability, etc.
• Partner with Lead Architect, Data Product Manager (Product Owner) and Lead Data Integration Engineer to create strategic solutions introducing new technologies.
• Work with stakeholders including Management, Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Strong development & programming experience in Informatica (IICS), Python, ADF, Azure Synapse, snowflake, Cosmos and Databricks.
• Solid understanding of databases, real-time integration patterns and ETL/ELT best practices.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• Responsible for ensuring enterprise data policies, best practices, standards and processes are followed.
• Write up and maintain technical specifications, design documents and process flow.
• Mentor a team of onshore and offshore development resources to analyze, design, construct and test software development projects focused on analytics and data integration.
• Elaborate user stories for technical team and ensure that the team understands the deliverables.
• Effectively communicate, coordinate & collaborate with business, IT architecture and data teams across multi-functional areas to complete deliverables.
• Provide direction to the Agile development team and stakeholders throughout the project.
• Assist in Data Architecture design, tool selection and data flows analysis.
• Work with large amounts of data, interpret data, analyze results, perform gap analysis and provide ongoing reports.
• Handle ad-hoc analysis & report generation requests from the business.
• Respond to data related inquiries to support business and technical teams.
• 6+years of proven working experience in ETL methodologies, Data integration and data migration. Informatica IICS, Databricks/Spark & Python hands-on development skills a must.
• Clear hands-on experience with database systems - SQL server, Oracle, Azure Synapse, Snowflake and Cosmos, Cloud technologies (e.g., AWS, Azure, Google), and NoSQL databases (e.g., Cosmos, MongoDB, DynamoDB).
• Extensive experience developing complex solutions focused on data ecosystem solutions.
• Extensive knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• In depth knowledge of data engineering and architecture disciplines.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Solid understanding of P&C Insurance data.
• Technical expertise regarding data architecture, models and database design development.
• Strong knowledge of and experience with Java, SQL, XML s, Python, ETL frameworks and Databricks.
• Working knowledge/familiarity with Git version control.
• Strong Knowledge of analyzing datasets using Excel.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficient in learning new technologies with the ability to quickly understand capabilities and work with others to guide these into development.
• Good communication and presentation skills.
• Solid problem solving, decision making and analytical skills.
• Knowledge & working experience with Duck creek is an added plus.
• Knowledge & working experience with Insurity Policy Decisions and/or IEV is an added plus.
• Experience with JIRA.
• Experience being part of high-performance agile teams in a fast-paced environment.
• Must understand the system scope and project objectives to achieve project needs through matrix management and collaboration with other enterprise teams.
• Proven ability to produce results in the analysis, design, testing and deployment of applications.
• Strong team emphasis and relationship building skills; partners well with business and other IT/Data areas.
• Strong coaching / mentoring skills.
• Applies technical knowledge to determine solutions and solve complex problems.
• Ability to be proactive, self-motivated, detail-oriented, creative, inquisitive and persistent.
• Excellent communication and negotiation skills.
• Ability to organize, plan and implement work assignments, juggle competing demands and work under pressure of frequent and tight deadlines.

Skills:

SQL, Python, SAS

Job type:

Full-time

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query,model,generative AI.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment.

Skills:

Software Testing, Java, Python, English

Job type:

Internship

• You will have an interest in technology demonstrated either via your work experience, extracurricular activities, or academic studies. For instance, you may be part of a Computing Society, have taught yourself how to code or have focused on technology as part of a university project.
• You should be interested in financial markets and how technology supports our business.
• A curiosity for data and an ability to analyse information to draw conclusions and p ...
• Individuals who are able to connect the dots and think creatively.
• The environment we work in is fast paced, you ll need to demonstrate focus, resilience and the flexibility to adapt to changing demands.
• People who can collaborate with others, using their strong communication skills in the process.
• You will have an interest in technology demonstrated either via your academic studies, work experience, or extracurricular activities. For instance, you may be part of a programming Society, have taught yourself how to code or have focused on technology as part of a university project. Basic Software Testing knowledge, will be a good starting point to have for this internship.
• Knowledge in Java, Python, JavaScript or TypeScript would be a plus.
• You should be interested in financial markets and how technology supports our business.
• A curiosity for data and an ability to analyse information to draw conclusions and propose solutions.
• Individuals who are able to connect the dots and think creatively.
• People who can collaborate with others, using their strong English communication skills in the process. (written and verbal).
• To be apply, you must be a penultimate year student due to complete your degree 2026. You should have a good grade and studying a technology, engineering or computing related degree. Application close: 31 December 2024, however we recommend an early application because we consider candidates on a rolling recruitment basis. Due to the volume of applications, we might close the applications earlier. LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040. 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:

PHP, Python

Job type:

Full-time

• พัฒนาระบบ Web Application, Mobile Application โดยใช้ C#, Angular, PHP หรือ Python.
• ศึกษาและวิเคราะห์กระบวนการทำงานปัจจุบันเพื่อนำไปปรับปรุงกระบวนการให้ดีขึ้นอยู่เสมอ.
• ดำเนินการพัฒนาโปรแกรมและจัดการสร้างฐานข้อมูลได้อย่างมีประสิทธิภาพ.
• ดำเนินการทดสอบระบบตามความต้องการ (Requirement Spec) พร้อมทั้งทดสอบ Test script ร่วมกับทีมพัฒนาระบบ และจัดทำรายงานผลการทดสอบเพื่อนำเสนอต่อผู้บริหาร.
• ติดตามการดำเนินงานและอัพเดทแผนงาน เพื่อรายงานความคืบหน้าโครงการต่อผู้บริหารได้.
• ศึกษาทำความเข้าใจกระบวนการทำงานของธุรกิจ และ สามารถวิเคราะห์ประเด็นปัญหา/ความต้องการทางธุรกิจได้ (Business Process).
• ศึกษารายละเอียดโครงการเพื่อจัดทำแผนการดำเนินงาน,ข้อมูลทางเลือก, และนำเสนอต่อต่อผู้บริหารเพื่ออนุมัติ.
• จัดทำเอกสารคู่มือการใช้งานระบบที่พัฒนาและระบบที่เกี่ยวข้อง เพื่อเป็นเอกสารอ้างอิงการใช้งานและใช้ในการอ้างอิงเพื่อพัฒนาต่อยอดระบบใน Phase ต่อไป.
• ดำเนินการฝึกอบรมการใช้งานให้กับผู้ใช้งานระดับต่างๆ ให้เป็นไปตามวัตถุประสงค์ของการพัฒนาระบบ.
• ศึกษาและติดตามการเปลี่ยนแปลงของเทคโนโลยีใหม่ๆ โดยสามารถนำสิ่งที่เรียนรู้มาประยุกต์ใช้ในงานได้อย่างมีประสิทธิภาพ.
• ปริญญาตรีด้านวิทยาการคอมพิวเตอร์, คอมพิวเตอร์ธุรกิจ, เทคโนโลยีสารสนเทศ หรือ สาขาที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานในส่วนงานที่เกี่ยวข้องอย่างน้อย 2 ปีขึ้นไป.
• มีทักษะการสื่อสารที่ดี.
• ติดต่อสอบถาม.
• สำนักทรัพยากรบุคคล.
• อาคารแสงโสม ถนนวิภาวดีรังสิต แขวงจอมพล เขตจตุจักร กรุงเทพมหานคร.

Skills:

ETL, Python

Job type:

Full-time

• รวมข้อมูลดิบจากแหล่งข้อมูลต่างๆ ทั้งภายและภายนอก และสร้างอัลกอริทึมและสร้างต้นแบบ.
• การรวบรวมข้อมูลที่มีโครงสร้าง (Structured Data) และไม่มีโครงสร้าง (Unstructured Data) ประเมินความต้องการและวัตถุประสงค์ทางธุรกิจ.
• จัดระเบียบข้อมูลดิบ นำข้อมูลมาทำความสะอาด (Data Cleansing + Shaping + ETL) รวมถึงจัดเตรียมข้อมูลสำหรับการสร้างแบบจำลอง.
• ทำการ Explore Data ด้วย Data Visualization Tools.
• หาวิธีการปรับปรุงคุณภาพของข้อมูล และสร้างความน่าเชื่อถือของข้อมูลดูแนวโน้มและ Patterns.
• ใช้ AI/ML การทำนาย คาดการณ์ (Predictive) และรายงานผล.
• ปริญญาตรี สาขา วิทยาการคอมพิวเตอร์ วิศวกรรมศาสตร์ คณิตศาสตร์ สถิติ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ในการทำ Data Visualization.
• มีประสบการณ์การใช้ Cloud Platform.
• มีประสบการณ์การใช้ Python เช่น Pandas, Numpy, Scikit-learn, Matplotlib and PyTorch.
• มีประสบการณ์ การใช้ Machine Learning เช่น regression, classification, clustering and association.
• มีความเข้าใจในสถิติข้อมูล.
• มีทักษะการนำเสนอ โดยสามารถนำความคิดที่ซับซ้อนมาทำให้เป็นรูปแบบที่เข้าใจง่าย.
• นักสื่อสารที่ดีพร้อมการจัดการผู้มีส่วนได้ส่วนเสียได้.
• มีทักษะการแก้ปัญหา.

Skills:

Jenkins, Automation, Python

Job type:

Full-time

• Infrastructure as Code: Design, implement, and maintain infrastructure using tools like Terraform, CloudFormation, or Ansible to manage cloud and on-premises resources.
• CI/CD Pipelines: Develop, manage, and improve CI/CD pipelines using tools such as Jenkins, GitLab CI to ensure reliable and efficient software delivery.
• Automation and Orchestration: Automate repetitive tasks and streamline workflows using scripting languages like Python, Bash, or PowerShell.
• Monitoring and Logging: Implement monitoring and logging solutions to ensure system health and performance, using tools like Prometheus, Telegraf, Grafana, ELK Stack.
• Collaboration: Work closely with development, QA, and operations teams to ensure smooth software releases and effective communication.
• Security: Integrate security practices into the DevOps processes, including vulnerability assessments, access control, and compliance with industry standards.
• Incident Management: Troubleshoot and resolve issues related to application and infrastructure performance, ensuring high availability and reliability.
• Cloud Services Management: Manage and optimize cloud services (e.g., AWS, Google Cloud) for performance, cost, and scalability.
• Documentation: Maintain clear and comprehensive documentation for processes, systems, and procedures.
• Qaulifications.
• Education: Bachelor s degree in computer science, Engineering, or a related field, or equivalent practical experience.
• Experience: [Specify years of experience] years of experience in a DevOps or related role.
• Proficiency in scripting languages (e.g., Python, Bash, Powershell).
• Experience with infrastructure as code tools (e.g., Terraform, CloudFormation).
• Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI).
• Familiarity with containerization and orchestration (e.g., Docker, Kubernetes).
• Strong understanding of cloud platforms (e.g., AWS, GCP).
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK).
• Understanding of security best practices and tools.
• Preferred.
• Experience with serverless architectures and microservices.
• Experience in a fast-paced, agile development environment.
• Knowledge of network and security configurations in cloud environments.
• Strong problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and in a team.
• Certifications: e.g., AWS Certified DevOps Engineer, Google Professional DevOps Engineer are a plus.
• Location: True Digital Park, Bangkok.

Experience:

3 years required

Skills:

Data Analysis, SQL, Python, English, Thai

Job type:

Full-time

• Research on AI/ML, MarTech and AdTech to explore new tools and techniques.
• Prototype and test hyper-personalization engine using these innovations to ensure benefits and efficiency before full-scale deployment.
• Design, implement and automate personalization engine and recommendation system to enhance customer experiences and boost sales and marketing.
• Leverage Advanced analytics, AI/ML, and data mining techniques across various use cases to address business challenges.
• Design and conduct experiments, evaluate and maintain model to improve performance.
• Engage with key stakeholders, including IT, business, campaign and data teams to align on business requirements and integrate data solutions into our platforms.
• Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/ML projects.
• Bachelor s Degree or higher in Computer Science, Data Science, Engineering, Statistics, or any related field.
• Minimum of 3-5 years experience in data field and at least 2 years in data science, AI/ML engineer or a related field.
• Proficiency in some of the following: Recommendation engine, Reinforcement Learning, Python, PySpark and SQL and etc.
• 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.
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .

Skills:

Data Analysis, SQL, Python

Job type:

Full-time

• Collaborate with business leaders to identify and prioritize data needs.
• Translate business goals into data requirements and actionable insights.
• Develop and maintain strong relationships with stakeholders across the organization.
• Lead the development and implementation of data strategies that align with business objectives.
• Ensure data governance policies and procedures are adhered to.
• Champion data quality, integrity, and security across the organization.
• Oversee the delivery of advanced analytics and business intelligence solutions.
• Provide strategic insights and recommendations based on data analysis.
• Utilize data to identify trends, opportunities, and potential risks.
• Mentor and guide data analysts and data scientists within the team.
• Drive continuous improvement in data processes and analytics capabilities.
• Manage and prioritize data projects to ensure timely delivery.
• Coordinate with IT and other departments to implement data solutions.
• Monitor and report on project progress and outcomes.
• Stay updated on the latest data technologies and methodologies.
• Ensure the use of best practices in data analytics and data science.
• Provide technical guidance and support to the team.
• Bachelor s degree in Data Science, Computer Science, Business Analytics, or a related field.
• Proven experience in a business partnering role, with the ability to influence and drive business strategy.
• Proficiency in data analysis tools and technologies (e.g., SQL, Python, Power BI).
• Strong project management abilities with experience in leading cross-functional projects.
• Has Finance and Accounting knowledge will be a plus.
• Strong ability to analyze user requirements, make recommendations and implement solution.
• Strategic thinker with a business-focused mindset.
• Strong oral and written communication skills.
• Strong communication and interpersonal skills, with the ability to explain complex data concepts to non-technical stakeholders.
• Ability to prioritize and execute in high-pressured environment.
• Ability to work in a fast-paced, dynamic environment.
• Strong problem-solving skills.
• CP Axtra | Lotus's
• CP Axtra Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

Experience:

4 years required

Skills:

Statistics, Python, SQL

Job type:

Full-time

• Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions.
• Extract insights from large and complex datasets using a variety of tools and techniques.
• Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling.
• Present findings and recommendations to stakeholders in a clear and compelling manner.
• Implement data-driven solutions in various environments, including integration with existing systems and processes.
• Stay up to date on the latest development in data science and bring new idea and technology to the team.
• Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time.
• Bachelor s or Master s degree in data science, Computer Science, Statistics, or related field.
• 4+ years of experience as a Data Scientist, with a focus on industries.
• Descriptive Analytics.
• Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path).
• Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases.
• Experience with statistical and machine learning techniques.
• Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others.
• Experience with data visualization tools such as Looker Studio, Tableau, and Power BI.
• Strong problem-solving and communication skills.
• Experience with Cloud technology and databases (Cloud AWS, Azure, GCP).
• Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery.
• Location: True Digital Park, Bangkok.

Skills:

Research, Product Design, Python, English

Job type:

Full-time

• Develop and implement technical solutions in two or more technical areas. Lead smaller projects and may coordinate other engineers including reviews of their work.
• Reviews and interprets customer documentation, conducts appropriate research, analysis and experiments with minimal direction from senior staff.
• Creates technical proposals (solution and timelines) based on requirements.
• Provide high level test hardware and software solution architecture.
• Create structural or functional test strategy and test plan to meet project goals and requirements.
• Create technical proposals with costed BOM and hours estimates.
• Create product test requirements with guidance from senior staff and collaboration with customer designers.
• Provides Technical program management for small projects.
• Develop production test strategies based on product design specification.
• Design and develop test solutions including hardware & software elements and then system integration, qualification, and installation to meet product, quality and test requirements outlined in the test plan.
• Debug of tester issues using design of experiments, tools, and failure analysis methodologies.
• Execute all validation/qualification requirements by applying statistical and common industry methods.
• Stabilization of Test Solutions for manufacturing working to optimize with process teams focusing on cycle time and yield.
• Test developers may also work with product design teams with feedback from product testability, test coverage, diagnosability, reparability, firmware/diagnostics and user experience.
• Keeping up to date with relevant industry knowledge and regulations.
• Knowledge/Skills/Competencies.
• Strong knowledge on test development (SW and Test fixtures).
• Proven strong knowledge on test programming development (Python).
• Knowledge on fixtures design, setup/integration.
• Ability to create technical proposals (solution and timelines) based on requirements.
• Ability to multitask and operate in cross functional development teams.
• Good verbal, and written communication skills in English.
• Typical Experience.
• Minimum of 5+ yrs of experience Structural or Functional Test development / support for electronic / automotive industry.
• Must have experience with disciplined operations.
• Must have experience working with and coordinating well with multiple intercompany organizations.
• Typical Education.
• Degree or higher in Electronics Engineering or equivalent.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
• Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
• At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.
• Celestica (NYSE, TSX: CLS) enables the world s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
• Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
• Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

Skills:

Excel, Python, Power BI

Job type:

Full-time

• Create, Develop and Monitor Auto Replenishment & Parameter.
• Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
• Investigate and identify root cause of overstocking and OOS at Store/DC.
• Monitoring of target stock on normal/seasonal period to suit with business sale target.
• Adjust daily sales in system to correct average daily sales after promotion period.
• Forecasting demand in each promotion campaign to manage Parameter setting.
• Develop Daily KPI Dashboard to monitor sales performance VS Suggest number from system.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
• Have experience in Data analyst, Inventory Analyst, Inventory Planning at least 3-5 Years.
• Strong Mathematic skills is a must.
• Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Tableau.
• Have experience in Retail business /FMCG would be advantage.
• Good Analytic skills.

Skills:

Python, Git, Electrical Engineering, English

Job type:

Full-time

• Design and develop digital logic and firmware for FPGA-based systems.
• Lead the bring-up and verification of functionality in new FPGA-based systems.
• Collaborate closely with hardware and software teams throughout the design and integration phases.
• Provide support to Integration Testing and Product Verification teams.
• Ensure that all designed modules meet required specifications and integrate seamlessly with the overall system architecture.
• This role offers the chance to work alongside world-class experts in multiple disciplines, contributing to high-impact design applications.
• Knowledge/Skills/Competencies.
• Proficiency in Verilog or VHDL programming.
• Proficiency in Python or C programming is a plus.
• Practical experience with hardware (e.g., soldering, oscilloscopes, power supplies, wiring, troubleshooting).
• Solid understanding of circuits and electronics, with the ability to read schematics and component datasheets.
• Experience with version control systems (e.g., Git) and development methodologies.
• Exceptional problem-solving, analytical, and critical thinking skills.
• Excellent documentation skills.
• Proficiency in English, both written and verbal.
• Passion for emerging technologies and enthusiasm for tackling new challenges.
• Self-motivated and capable of driving development projects to completion.
• Ability to work in Laemchabang, Chonburi.
• Typical Experience.
• 0 to 6 years.
• Typical Education.
• Bachelor's degree in Computer Engineering, Electronics Engineering, Electrical Engineering, or a related field.
• Fresh graduates are encouraged to apply.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
• Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
• At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.
• Celestica (NYSE, TSX: CLS) enables the world s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
• Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
• Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

Skills:

PowerShell, Python, English

Job type:

Full-time

• Design, operate and maintain IT system and Infrastructure on both private cloud and public cloud in accordance with FWD standards and policies.
• Work with project owner and stakeholders to support an application hosted at on-premise data centers and public cloud providers.
• Consult with project owner and stakeholders on deployment design, implementation, monitoring and optimization within cloud platforms.
• Take a hands-on role in automating infrastructure migration to cloud environments.
• Develop scripts to automate standard activities (ie. PowerShell, Python).
• Develop, document, make recommendations, and communicate plans for investing in IT cloud infrastructure, including analysis of cost reduction opportunities.
• Anticipate, mitigate, identify, respond to, and resolve problems affecting cloud systems performance, efficiency, and availability.
• Complete all vulnerability fixing are on time and align with group policy.
• Bachelor s Degree in Computer Science or IT related fields.
• Prefer Certified Microsoft, Azure, AWS or equivalent IT industry certificate.
• Minimum 3-5 years of experience in IT Infrastructure and Cloud Infrastructure.
• Excellence communication both Thai and English.