Filter Jobs

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:

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:

Statistics, Data Analysis, SQL

Job type:

Full-time

• Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
• Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
• Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
• Machine Learning & AI.
• Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
• Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
• Problem-Solving & Collaboration.
• Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
• Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
• Technical Expertise.
• Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
• Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
• Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
• Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
• Education & Experience.
• Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
• Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.

Skills:

Big Data, Hive, SAS

Job type:

Full-time

• Experience migrating from on-premise data stores to cloud solutions.
• Knowledge of system design and platform thinking to build sustainable solution.
• Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
• Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
• Experience with agile software delivery and CI/CD processes.
• Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
• At least 3 years of experience in data analysis and modeling.
• Proficiency in Python, and SQL.
• Experience with data visualization tools such as Tableau, Grafana or similar.
• Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• Growth Potential: This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
• Contact: thipwimon.kanthawong@krungthai.com.
• 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:

CAD, Instrument

Job type:

Full-time

• Preparing, maintaining, monitoring, analyzing, and troubleshooting of power plant equipment as rotating machine, accessories machine and piping.
• Controlling and reducing the maintenance costs to have production effectiveness within the specified limits.
• Analyzing and solving machinery problems in normal and urgent situations/cases or on-call for continuous operation of machinery.
• Studying to propose the most appropriate solution for maintenance activities to be further leveraged.
• Monitoring the environmental system.
• Bachelor s degree or higher in Mechanical Engineering.
• Minimum 3 years experience in mechanical maintenance (New graduate who is a high-potential and seeking for job challenging is also welcome).
• Experience in power plant would be an advantage.
• Good Mechanical understanding of Industrial plant and power plant.
• Proficiency in Auto CAD, PLC, DCS, Scada, instrument, control valve and analyzer.
• Good command in English (Minimum 600 TOEIC score).
• Ability to work on-call on weekends and holidays.
• Goal-Oriented, Unity, Learning, Flexible.
• Interested person, please submit your resume via online
• system: [link removed]https://careers.gulf.co.th/ https://careers.gulf.co.th/ [link removed]or click "APPLY NOW".
• All applications will be strictly confidential, and will be kept for at least 1 year.
• Only shortlist candidates will be notified.
• Gulf Energy Development Public Company Limited
• 11th Fl., M Thai Tower, All Seasons Place,
• 87 Wireless Rd., Lumpini, Pathumwan, Bangkok 10330.
• Website: www.gulf.co.th.

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:

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:

ETL, SQL, Data Analysis

Job type:

Full-time

• Data Pipeline Development: Create and maintain optimal data pipeline architecture.
• Data Integration: Assemble large, complex data sets that meet functional and non-functional business requirements.
• Process Improvement: Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery.
• Infrastructure Building: Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources using SQL and AWS technologies.
• Master Data Management (MDM): Implement and manage MDM solutions to ensure data consistency, accuracy, and reliability across the organization.
• Data Lake Management: Design, build, and maintain data lakes to store structured and unstructured data, enabling advanced analytics and machine learning.
• Collaboration: Work with stakeholders including data, design, product, and executive teams to assist with data-related technical issues and support their data infrastructure needs.
• Data Analysis Tools: Build analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics.
• Technical Skills: Proficiency in SQL, Python, big data technologies such as Hadoop, Spark, and AWS, as well as MDM tools and data lake technologies..
• Technical Skills: Platforms, Databases, Programming Languages, Software Appliance: - Oracle: Data Integrator, Golden Gate - Informatica: Data Quality, Data Governance, Dynamic Data Masking, Big Data Management, Enterprise Data Catalog, Intelligent Data Management Cloud, Informatica Master Data Management.
• Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information..
• Experience: Prior experience in data engineering or a related field, with a solid understanding of data architecture, data modeling, MDM, and data lakes..
• Solution Advisor for Analytics, Cloud, Big Data, and Data Governance.
• Architect MDM solutions, including data modeling, match and merge rule configuration, hierarchy management, and data governance frameworks.
• Designed and implemented ETL processes for integrating MDM solutions with various ERP and CRM systems.
• Perform data quality assessments, cleansing, and validation tasks to maintain data accuracy and reliability.

Skills:

Product Development, Statistics, English

Job type:

Full-time

• Drive the creation of robust business intelligence systems to provide insights that inform strategic decisions.
• Develop and implement data analytics solutions that improve business processes and customer experiences.
• Ensure the accuracy, integrity, and availability of data used for business intelligence and decision-making.
• Manage the deployment of big data technologies and tools to enhance data processing capabilities.
• Lead initiatives in big data analytics, ensuring the extraction of valuable insights from large, complex datasets.
• Oversee the implementation of predictive analytics and data discovery techniques to anticipate trends and opportunities.
• Guide the development and deployment of machine learning models and AI algorithms for various business applications.
• Stay abreast of the latest advancements in machine learning, AI, and data science to ensure the company remains competitive.
• Collaborate with IT and engineering teams to integrate AI solutions into existing systems and platforms.
• Work closely with cross-functional teams, including IT, marketing, product development, and operations, to drive data-driven decision-making.
• Bachelor's degree in engineering, computer science, math, physics, statistics, or another highly quantitative field, such as machine learning, business analytics, statistics, mathematics, or a related field.
• Solid understanding and hands on experience in machine learning and data mining.
• Experience with statistical programming languages and database software.
• Good knowledge of data structure and algorithms.
• Sensitive to data and business, passionate about technical challenges, have excellent critical thinking skills.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.

Experience:

3 years required

Skills:

Research, Finance, Statistics

Job type:

Full-time

• Manage passive and active funds to achieve the designed target return and risk.
• Develop or improve execution process in both domestic and foreign assets.
• Monitor and analyze portfolios characteristics and performances.
• Work with big data and quantitative research team to develop quantitative models for investment by applying machine learning tools and techniques.
• Qualification Bachelor s degree or Master s degree in economics, finance, mathematics, statistics, computer science or another quantitative field.
• Min. 3 year experience with investment management.
• CFA or FM license is preferred.
• Proficiency in the use of Microsoft Office.
• Proficiency in Python is a plus.
• A passion for learning new development in data analysis and modelling.
• 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:

ETL, Python, TensorFlow

Job type:

Full-time

• Develop and deploy machine learning models for demand forecasting, customer segmentation, pricing optimization, and inventory management.
• Work with large-scale datasets and implement efficient feature engineering pipelines to enhance model performance.
• Use PySpark to process and analyze large datasets in a distributed computing environment.
• Collaborate with data engineers to build scalable data pipelines and ensure data quality.
• Implement MLOps best practices for model deployment, monitoring, and retraining in production.
• Design ETL workflows for preprocessing and transforming structured and unstructured data.
• Communicate findings and recommendations to business stakeholders in a clear and actionable manner.
• Stay up to date with the latest advancements in AI, machine learning, and data engineering.
• 5+ years of experience in data science, machine learning, or applied AI.
• Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
• Hands-on experience with PySpark for big data processing and analysis.
• Experience with SQL for querying large datasets efficiently.
• Familiarity with cloud platforms (AWS, GCP, Azure) and distributed computing frameworks.
• Knowledge of MLOps practices (model versioning, CI/CD for ML, monitoring, automation).
• Experience working with ETL workflows and data engineering pipelines.
• Strong understanding of statistical analysis, time-series forecasting, and clustering techniques.
• Excellent problem-solving and communication skills, with the ability to translate data insights into business value.
• Experience in the retail industry or working with e-commerce/consumer data.
• Familiarity with tools like Databricks, Airflow, MLflow, and Docker/Kubernetes.
• Experience with deep learning frameworks for NLP or computer vision.
• 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:

Kotlin, Scala, Java

Job type:

Full-time

• Architecting and developing highly scalable, mission critical back end systems.
• Owning a big chunk of Agoda's system all the way from the north-star & vision down to the bytecode level.
• Enabling impactful collaboration and cross-team projects on big projects, making a dent in the quality of our services, code & architecture.
• Providing thoughtful feedback, nurture an inclusive engineering environment, and champion engineering fundamentals. Bring out the best from your fellow engineers.
• Identifying and implementing opportunities for optimization across the technology stack, focusing on cost, efficiency, velocity & dev happiness.
• Exhibiting technical leadership throughout the broader organization, conveying complex technical trade-offs to non-techies such as business owners & C-suite executives.
• Overall experience of 10+ years in software engineering roles.
• Proven hands-on experience, Experience with owning production services with significant impact on design, development, deployment, monitoring & evolution.
• Curiosity, staying a-breast on technological improvements and open source advancement.
• Strong programming skills in languages such as Kotlin, Scala, Java, C#.
• Can perform deep research & take decisions on complex projects. Can easily toggle between running as a lone wolf and also works great as part of a pack.
• Strong communication skills, with the ability to explain complex technical details to stakeholders at all levels.
• On top of being an expert in Back End, has understanding of challenges and trade-offs in the entire engineering universe, from Front End/ Mobile to Data 7 analytics.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Master's or Ph.D. in a technical field.
• Experience with Kubernetes for effective container orchestration and scaling.
• Deep understanding of CI/CD pipelines, automation tools, and practices relevant to machine learning.
• Experience in programming with Rust, C or other low level language.
• This position is based in Bangkok, Thailand. (Relocation support is provided).
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Industry trends, Research, Product Design

Job type:

Full-time

• Lead and mentor the team of engineers and in their assignments, fostering a collaborative and productive work environment.
• Coordinate activities with other functions and departments, ensuring seamless integration and communication across the organization.
• Set project priorities based on their strategic importance to the Group, ensuring alignment with overall business goals.
• Organize and participate in knowledge transfer within Dextra Group, promoting continuous learning and development.
• Prepare and present weekly and monthly reports, including detailed time management and risk analysis, to keep stakeholders informed and projects on track.
• Propose and implement in coordination with HR the learning path of direct subordinates consistently with Dextra's needs (Individual Development Plans).
• Implement the HR Policies and the company PMS process (set up KPls and competencies, regular feedback and 1/1, final assessment, career path proposition).
• Keeps management informed about progress and problems, mitigate risks, and propose action plan.
• Contribute to the Company Dashboards elaboration and filing.
• Research: Stay updated with the latest industry trends, scientific advancements, and competitor activities.
• Conduct feasibility studies to evaluate the potential of new ideas and technologies.
• Lead the design and execution of experiments to test hypotheses and validate concepts.
• Analyze experimental data and interpret results to guide further research.
• Develop and present recommendations and proposals related to product design and manufacturing, based on thorough calculations and simulations.
• Assist in validating construction method trials in the workshop as needed.
• Collaborate with academic institutions and research organizations to leverage external expertise and resources.
• Prepare detailed technical reports and research papers for internal and external dissemination.
• Development: Develop and implement innovative solutions for mechanical splices, bar system products, and tools.
• Oversee the design, prototyping, and testing of new products to ensure they meet performance and safety standards.
• Work closely with the production team to ensure manufacturability and scalability of new products.
• Optimize product designs for cost, performance, and reliability.
• Ensure compliance with industry standards and regulatory requirements throughout the development process.
• Prepare technical documentation, including design specifications, assembly instructions, testing protocols, and product datasheets, as well as participate in the preparation of commercial documentation of new products.
• Supply the Marketing Department with materials on developments for external communication and validate customers are informed about document updates.
• Participate in engineering changes within the company, ensuring smooth transitions, compliance with standard and quality requirements and minimal disruptions.
• Collaborate with other functions to ensure that development projects are successfully executed across the group.
• Project Management Implement and oversee project management systems to ensure a systematic approach to all R&D projects.
• Plan and manage R&D projects from concept to industrialization and market release.
• Define project scope, objectives, and deliverables in collaboration with stakeholders.
• Develop detailed project plans, including timelines, budgets, and resource allocation.
• Monitor project progress and adjust as necessary to ensure successful completion.
• Coordinate with cross-functional teams within the Group, including production, engineering, quality assurance, and marketing, to ensure seamless project execution.
• Conduct risk assessments and implement mitigation strategies to address potential challenges.
• Prepare and present project status reports to senior management and other stakeholders.
• You may also be assigned additional duties as needed.
• On the scope of work described above, produce weekly and monthly reports to your manager to track the project advancements (actual vs forecast) including root cause analysis.
• Requirements At least a Bachelor, or master's degree in mechanical engineering, civil engineering, or other related Engineering disciplines.
• At least 10 years of relevant experience in product development, structural design or design engineering, with strong background in project management.
• Experience working in similar management role, leading technical teams toward successful product delivery.
• Good written and verbal communication skill.
• CAD application.
• SolidWorks/ SolidWorks PDM.
• Microsoft Office.
• Project Management Software.
• Strong creative thinking and problem solving.
• Strong communication and interpersonal skills.
• Self-initiative.
• Ability to work collaboratively in a team environment.
• Knowledge of construction products and machine equipment.
• Knowledge of industry standards and regulatory requirements.

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 jaruporn.meepean@scb.co.th 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:

7 years required

Skills:

Product Development, Quantitative Analysis, Data Analysis

Job type:

Full-time

• General: This role is a blend of hands on 'in the business' and executive level 'on the business' work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy.
• Project Delivery: Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization.
• Experimentation: Define success, measure / validate experiments and help ingrain an ...
• Forecasting and Insights: Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors.
• Analytics & Alerts: Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency.
• Process Improvement: Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements.
• Reporting: Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts.
• Leadership: Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members.
• 7+ years of leadership experience in analytics/data science/insights/strategy.
• 4+ years' experience leading analytics, operational, product or other technical teams.
• Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar.
• Strong statistical modelling and machine learning knowledge.
• Strong experience in finding data insights and provide business recommendation to the business.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Ability to multi-task, prioritize and coordinate resources.
• Strong program/project management experience.
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Experience in articulating strategic issues and negotiating with C-level executives - experience in leading strategy consulting projects a plus.
• People management - track record of developing stars.
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process.
• Master's degree in statistics, economics, mathematics or similar discipline.
• Experience in conducting A/B testing experimentation.
• Travel industry / e-commerce / tech / consulting experience.
• Bangkok.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Experience:

3 years required

Skills:

SAP, Project Management, Statistics

Job type:

Full-time

• Generate the blueprint (digital workflow) from process workflow (e.g. engineering workflow, sshe workflow, etc.).
• Develop application to support work execution in according to engineering and SSHE workflow, to gather information from various entities, to analyse and integrate the data from other applications, and to monitor the status of the equipment on facilities, etc.
• Perform testing of the developed applications as per detailed test plan including Fu ...
• Develop and implement advanced statistical models, machine learning algorithms, and predictive analytics to identify trends, patterns, in the SSHE application, e.g. incident prediction, LOPC prediction, etc.
• Collect, clean, pre-process, and integrate SSHE data from various sources, such as SSHE applications, MOC applications (e.g. EPMS, SAP, etc.), which include large amounts of unstructured data to create a centralized and high-quality database.
• Flag data for further verification and confirmation when necessary.
• Utilize computer vision, natural language processing, and other AI methods to extract meaningful insights from unstructured data.
• Collaborate with SSHE and Operations teams to translate data-driven insights into concrete recommendations for enhancing SSHE operational and verification controls, risk mitigation strategies, and overall SSHE performance.
• Design and build interactive dashboards and visualizations to effectively communicate performance indicator e.g. SSHE KPIs, PSEIs, and data-driven insights to key stakeholders.
• Stay current with the latest advancements in data science, AI, and SSHE management to identify and pilot new technologies that can enhance the organization's SSHE capabilities.
• On-site and remote support to assist in the planning, project management and facilitation of various IT projects and functions.
• On-site and remote support to assist users in problem solving in application usage.
• Professional Knowledge & Experiences.
• Bachelor's or Master's degree in data science, statistics, computer science, or a related quantitative field.
• 0-3 years of experience in data analysis, science, or engineering.
• Proficiency in programming languages such as Python or SQL for data manipulation, analysis, and visualization, or equivalent.
• Experience applying machine learning, deep learning, and other AI techniques to solve complex problems.
• Familiarity with SSHE data management systems, risk assessment, incident reporting, audit and closure action management, and industry regulations will be a plus.
• Excellent problem-solving, critical thinking, and communication skills, with the ability to effectively translate data insights into actionable recommendations.
• Demonstrated ability to work collaboratively with cross-functional teams, including SSHE, Operations, and IT/Digital teams.

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:

1 year required

Skills:

Finance, Statistics, Python, English

Job type:

Full-time

• Manage/ Clean/ Prepare internal and external data (structured/ semi-structured/ unstructured data) for model development/ deployment/ monitoring, including the production of data quality and integrity report.
• Develop statistical/ expert/ hybrid models to be able to enhance the model when model deterioration is indicated using variety of data modeling techniques such as Logistic Regression/ Random Forest/ Gradient Boosting/ Non-Parametric Regression. Also, in case of using external consultants, be able to work closely with them across all m ...
• Generate prescriptive models to respond to interactive decision to optimize risks and rewards.
• Deploy credit risk models into Databricks platform, collection system and credit decision engine and maintain any model adjustment.
• Assist and work closely with related parties, e.g. business users, credit approval officers and relationship managers to ensure credit risk models are appropriate and efficient for business direction and support for new digital lending risk assessment and platform.
• Ensure all credit risk models are qualified to be used through model life cycle. Regularly perform model monitoring, model assessment and propose proactive action/ recommendation to improve the model.
• Assist and design for business opportunity to develop alternative credit score from partnership data.
• Collaborate with IT and data engineer to ensure data availability and quality from various sources (both on-premise/ cloud) to develop an efficient model.
• Qualifications Bachelor s or higher degree in Finance, Statistics, Mathematics, Economics, MIS, Engineer, Data scientist or any related fields.
• At least 1-2 year experiences credit risk analytics, credit risk modeling/ scoring in retail banking, consumer finance or any financial business.
• Strong knowledge and skill in machine learning, credit scoring, data analytics using R/ Python/ PySpark, MATLAB, SPSS, SAS, SQL or similar required.
• Analytical mindset with excellent critical thinking ability and data analytics skills.
• Excellent computer skills and programming tools.
• Good command in both written and spoken English.
• Good project management skills.
• Good team player with a positive attitude toward hard working and working under pressure.
• Experienced in credit risk modeling, model monitoring/ validation/ deployment/ maintenance preferred.
• Prior experience in Basel/ IFRS9, RAROC, Stress Test, Big Data, Data Mining, Digital leading, Fin-tech/ Start-up is a plus.
• 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:

Automation, Electrical Engineering, Tableau, English

Job type:

Full-time

• Identify and drive operational improvements through business transformation initiatives.
• Conduct Root Cause Analysis (RCA) for critical incidents, collaborating with Tier 1, Tier 2, Optimization, and OEM teams.
• Lead problem resolution and proactive prevention methods to minimize repetitive incidents.
• Maintain and track risks, single points of failure (SPOF), and mitigation plans.
• Work with Data Analytics teams to develop predictive models for network performance insights.
• Engage with teams to ensure timely issue resolution and improve customer experience.
• Manage automation, AI/ML, and data analytics to enhance service delivery.
• Drive Incident Management, Change Management, and Problem Management processes.
• Education: Bachelor s or Master s in Telecommunications, Computer Science, or Electrical Engineering.
• Experience: 10+ years in Telecom, with expertise in RAN, Transport, and Core domains.
• Strong knowledge of Service KPIs, Machine Learning, AI, and Cloud Technologies.
• Proficiency in automation and data analytics tools (e.g., Tableau).
• Ability to lead problem management operations and drive cross-functional projects.
• Customer-oriented mindset with strong collaboration and communication skills in English & Thai.
• Availability for 24x7 support when required.
• What happens once you apply?.

Experience:

5 years required

Skills:

ETL, Quantitative Analysis, Industry trends

Job type:

Full-time

• Translating business requirements to technical solutions leveraging strong business acumen.
• You will be a core member of the EY Microsoft Data and AI team, responsible for extracting large quantities of data from client s IT systems, developing efficient ETL and data management processes, and building architectures for rapid ingestion and dissemination of key data.
• Apply expertise in quantitative analysis, data mining and presentation of data to de ...
• Extremely flexible and experience managing multiple tasks and priorities on deadlines.
• Applying technical knowledge to architect solutions that meet business and IT needs, create Data Platform roadmaps, and enable the Data Platforms to scale to support additional use cases.
• Staying abreast of current business and industry trends relevant to the client's business.
• Monitoring progress, managing risk, and ensuring key stakeholders are kept informed about progress and expected outcomes.
• Understanding customers overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
• Strong team collaboration and experience working with remote teams.
• Working on large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.
• Demonstrated significant professional experience of commercial, strategy and/or research/analytics interacting with senior stakeholders to effectively communicate insights.
• Execute on building data solutions for business intelligence and assist in effectively managing and monitoring the data ecosystem of analytics, data lakes, warehouses platforms and tools.
• Provide directional guidance and recommendations around data flows including data technology, data integrations, data models, and data storage formats.
• To qualify for the role, you must have.
• Bachelor s degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
• Minimum of 3-5 years of relevant consulting experience with focus on advanced analytics and business intelligence or similar roles. New graduated are welcome!.
• Communication and critical thinking are essential, must be able to listen and understand the question and develop and deliver clear insights.
• Experience communicating the results of analysis to both technical and non-technical audiences.
• Independent and able to manage and prioritize workload.
• Ability to adapt quickly and positively to change.
• Breadth of technical passion, desire to learn and knowledge services.
• Willingness and ability to travel to meet client if need.
• Ideally, you ll also have.
• Experience working business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale.
• Ability to communicate clearly and succinctly, adjusts to a variety of styles and audiences with ability to tell compelling stories with the data.
• Experience with C#, VBA, JavaScript, R.
• A vast understanding of key BI trends and the BI vendor landscape.
• Working experience with Agile and/or Scrum methods of delivery.
• Working experience with design led thinking.
• Microsoft Certifications in the Data & AI domain.
• We re interested in passionate leaders with strong vision and a desire to deeply understand the trends at the intersection of business and Data and AI. We want a customer-focused professional who is motivated to drive the creation of great enterprise products and who can collaborate and partner with other product teams, and engineers. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
• What we offer.
• We offer a competitive compensation package where you ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you ll decide how much vacation time you need based on your own personal circumstances. You ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• Continuous learning: You ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You ll be embraced for who you are and empowered to use your voice to help others find theirs.
• If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
• The exceptional EY experience. It s yours to build.
• EY | Building a better working world.
• EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
• Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
• Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
• EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.