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Skills:

Statistics, Python, SQL

Job type:

Full-time

• Lead the end-to-end development of analytics and AI projects that strengthen business and customer intelligence across the Siam Piwat data ecosystem.
• Translate business challenges into data science solutions that deliver measurable outcomes and strategic value.
• Collaborate with MIS, Data Engineering, Data Analytics and Business teams to ensure reliable data flow, technical integration, and sustainable implementation.
• Drive analytics initiatives that inform sales strategies, tenant insights, and evolving market opportunities.
• Technical Execution & Supervision.
• Develop and deploy predictive models and analytics frameworks to understand performance patterns, identify growth drivers, and support decision-making.
• Provide technical direction and support to data scientists and analysts to maintain consistency, accuracy, and quality of analytical outputs.
• Apply best practices in data preparation, model governance, and MLOps to ensure scalability and reliability.
• Work closely with cross-functional partners internally and externally to transform analytical insights into actionable business recommendations.
• Business Impact & Innovation.
• Deliver insights that enhance understanding of customer behavior, tenant performance, and overall sales and customer trends.
• Monitor and assess emerging market and consumer trends to guide future business strategies.
• Present complex findings through clear visualizations and storytelling tailored for executive and business audiences.
• Foster a culture of innovation and continuous improvement in analytics practice.
• Education & Experience.
• Master s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.
• Minimum 5-7 years of experience in data science, advanced analytics, or AI solution delivery..
• Demonstrated success in developing and implementing data-driven solutions with measurable business impact.
• Experience in retail, customer analytics, or digital transformation environments is preferred..
• Technical Skills.
• Proficiency in Python, SQL, and PySpark for data analysis and model development..
• Solid understanding of machine learning, AI, and statistical modeling frameworks..
• Familiarity with cloud data platforms (DWS, AWS, GCP, or Azure) and version control tools (Git)..
• Experience with visualization and BI tools such as Power BI, Tableau, Apache Superset, or similar..

Skills:

Power BI, Tableau, Statistics

Job type:

Full-time

• Conduct data collection, cleaning, and exploratory analysis to support retail-related use cases such as customer insights and product performance.
• Assist in developing and evaluating machine learning models for forecasting, segmentation, recommendation, and customer behavior analysis.
• Support GenAI and LLM-related tasks, including text classification, summarization, embedding generation, prompt testing, and preparation of datasets for NLP or RAG-style workflows.
• Prepare and document features for analytics and machine learning workflows, ensuring data quality and reproducibility.
• Build dashboards and visualizations using Power BI, Tableau, Plotly, or matplotlib to present insights to business stakeholders.
• Collaborate with senior data scientists, data engineers, and business teams to understand requirements and translate them into analytical tasks.
• Participate in team knowledge-sharing sessions and continuously develop technical skills.
• Bachelor s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Minimum of two years of experience in data analytics or data science.
• Proficiency in Python, including pandas, numpy, and scikit-learn.
• Strong SQL skills for working with large datasets.
• Understanding of common machine learning techniques such as regression, classification, and clustering.
• Exposure to GenAI or LLM tools and libraries such as Hugging Face, LangChain, or OpenAI APIs.
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
• Experience with basic NLP tasks such as tokenization, text cleaning, or embedding generation.
• Hands-on experimentation with LLMs or GenAI workflows.
• Familiarity with Git or collaborative coding practices.
• Experience in retail, e-commerce, or consumer analytics environments.
• 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:

Statistics, Big Data, 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.

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.

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:

Digital Marketing, Big Data, Statistics

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:

Data Analysis, Big Data, Statistics, English

Job type:

Full-time

• Work collaboratively with data engineers and data architects to acquire new data from internal and external source systems.
• Support business initiatives and projects by performing data wrangling and exploratory data analysis, discovering trends and patterns, building predictive models and machine learning algorithms, etc., based on the CRISP-DM methodology and agile approach.
• Stay up to date with big data and analytical techniques, such as machine learning, d ...
• Provide analytics expertise, directions and guidance to business leads through turning insights into business action so as to improve sales and customer profitability.
• Present summary of analyses including data monetization on large datasets using advanced analytics tools and data visualization techniques.
• Lead implementation of AI models and business rules incorporated in automated business processes.
• Bachelor's degree or higher in Data Science, Statistics or related fields.
• AI and machine learning professional certification.
• More than 3-5 years of experience in data science and big data using tools, e.g., SPSS, SAS, Alteryx, Spark, Jupyter Notebook and Databricks.
• Excellence communication in Thai and English.

Skills:

Sales, Finance, Statistics

Job type:

Full-time

• Drive the end-to-end AI and Advanced Analytics initiatives to support CP Axtra s Retail & Wholesale businesses.
• Develop and execute a forward-looking AI strategy that delivers measurable impact on revenue growth, cost efficiency, and customer engagement.
• Serve as a bridge between business and technology, ensuring AI adoption and scaling across multiple business units.
• Stay updated on global and local AI trends, including Generative AI, personalization, forecasting, and optimization, to strengthen CP Axtra s competitive edge.
• Analytics and AI Execution.
• Lead the design, development, and deployment of machine learning and AI models, including personalization engines, pricing optimization, demand forecasting, inventory management, and GenAI/NLP applications.
• Oversee experimentation, validation, and monitoring of AI/ML models to ensure scalability, reliability, and business integration.
• Ensure close collaboration with data engineering teams to enable robust pipelines and MLOps for production-grade solutions.
• Business Partnership.
• Partner with Retail Operations, Marketing, Sales, Supply Chain, Finance, and IT to co-create AI use cases and drive adoption.
• Build strong relationships with stakeholders to align priorities, communicate trade-offs, and manage expectations effectively.
• Act as a trusted advisor to senior executives, translating complex AI insights into actionable recommendations.
• Evangelize the value of AI and data-driven decision-making across the organization.
• People Leadership and Collaboration.
• Mentor and coach a team of data scientists and analysts, fostering a culture of innovation, experimentation, and continuous learning.
• Promote cross-functional collaboration with Business Intelligence and Data Engineering teams to deliver integrated solutions.
• Encourage knowledge sharing and build internal AI/ML capability to strengthen organizational maturity.
• Performance Monitoring and Optimization.
• Define and monitor success metrics for AI initiatives, such as sales uplift, campaign ROI, operational cost reduction, and customer lifetime value.
• Continuously assess and optimize AI-driven processes to maximize business impact.
• Share learnings, case studies, and success stories to build trust and ensure alignment with business leaders.
• Bachelor s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master s or PhD strongly preferred).
• 5+ years of experience in data science, advanced analytics, or AI applications (experienced in Retail or Wholesale domain preferred).
• Proven experience delivering AI/ML solutions from ideation to production with measurable business outcomes.
• Proficiency in Python, R, SQL, and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Familiarity with GenAI and NLP frameworks (e.g., LLMs, LangChain, RAG pipelines).
• Familiarity with cloud-based data platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop, Databricks).
• Experience with data visualization tools (e.g., Power BI, Tableau) and modern MLOps practices.
• Strong stakeholder management and communication skills across technical and business functions.
• Proven ability to prioritize and deliver projects with business impact.
• Understanding of retail and wholesale operations, including customer journey, pricing, promotion, assortment, and supply chain optimization.
• Demonstrated success in driving AI adoption, gaining executive buy-in, and scaling solutions across organizations.
• 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:

Power BI, Tableau, Statistics

Job type:

Full-time

• Identify valuable data sources and automate data collection processes.
• Undertake preprocessing and transformation of structured and unstructured data.
• Analyze large datasets to discover meaningful trends, patterns, and business insights.
• Build and deploy predictive models, machine learning algorithms, and NLP models (classification, clustering, topic modeling, sentiment analysis).
• Combine models through ensemble techniques to improve accuracy.
• Design and maintain end-to-end data pipelines and migrate workflows to cloud platforms (e.g., Databricks, BigQuery, PySpark).
• Develop and maintain dashboards (Power BI, Looker, Tableau) to communicate insights effectively.
• Collaborate with cross-functional teams including product, engineering, and business stakeholders to align data solutions with business needs.
• Propose solutions and strategies to address complex business challenges.
• QualificationsBachelor s or Master's degree in Data Science, Statistics, or related field.
• Proven experience as a Data Scientist or Data Analyst, with demonstrated success in building and deploying data-driven solutions.
• Strong proficiency in Python, SQL, PySpark; experience with big data platforms (Databricks, BigQuery, Redshift, Hadoop).
• Solid understanding of machine learning and deep learning frameworks.
• Experience in data mining, feature engineering, and statistical modeling.
• Strong math and statistical skills; analytical mindset with problem-solving aptitude.
• Excellent communication and presentation skills to engage with both technical and non-technical stakeholders.
• (Preferred) Experience with stream processing, NLP, and scalable big data stores.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN: (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย: (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..

Job type:

Full-time

• We are inviting applications for the position of Senior R&D Engineer / Scientist in our Resin for Paint and coating division. The ideal candidate will be responsible for leading the development and improvement of coating and resin systems with a focus on quality, innovation, sustainability, and regulatory compliance. This is a leadership role requiring a deep understanding of polymer science, surface chemistry, and coating applications across various industries.
• Lead and execute complex R&D projects from concept to commercialization.
• Lead formulation and development of advanced paints, resins, and coatings, including water-based, solvent-based, and hybrid systems as well as the low VOC products.
• Innovate and optimize product formulations for enhanced performance, cost-effectiveness, and environmental compliance (e.g., low-VOC, eco-friendly technologies, Green Label, LEED).
• Ensure compliance with company policies, safety standards, and regulatory requirements.
• Plan and execute laboratory experiments, analyze results, and provide actionable insights or prototypes to validate new technologies.
• Evaluate new raw materials, resins, pigments, additives, and suppliers.
• Collaborate with cross-functional teams (production, QC, sales, marketing, and procurement) to support scale-up, troubleshooting, and commercialization.
• Ensure adherence to applicable industry standards and regulatory guidelines (e.g., VOC regulations, LEED, Green Label, ISO etc.).
• Generate and maintain all relevant technical documentation, test reports, and formulation records.
• Provide technical support to customers and internal stakeholders, including training and troubleshooting.
• Mentor junior R&D staff and interns and contribute to knowledge-sharing within the team to enhance their technical knowledge and skill.
• Monitor emerging trends and technologies in coatings and resin systems to support long-term R&D strategy and business strategy.
• Manage timelines, budgets, and resource allocation for assigned projects..
• M.Sc./M.Tech/Ph.D. in Polymer Science, Chemical Engineering, Surface Coating Technology, Organic Chemistry, or a related discipline.
• Minimum 20 years of R&D experience in the paint, coatings, or resin manufacturing industry, preferably in a senior or leadership capacity.
• Strong expertise in formulation chemistry of various coatings: architectural, industrial, automotive, protective, etc.
• Hands-on experience with analytical and performance testing equipment (e.g., viscometer, spectrophotometer, gloss meter, FTIR, DSC, TGA).
• Knowledge of resin synthesis and polymerization techniques is a plus.
• Excellent problem-solving, project management, and analytical skills.
• Strong communication (verbal and written) for internal reporting and external collaboration.
• Leadership skills with the ability to mentor and develop junior staff.
• Experience in low-VOC, water-based systems, or bio-based coatings.
• Exposure to patent filing, technical papers, or international formulation standards.
• Familiarity with SAP, LIMS, or digital R&D systems.
• This position is based at TOA Paint (Thailand) Public Company Limited, Head Office. Working hours: 5.5 days / Monday to Friday, with every other Saturday and Sunday off.
• Interested applicants are requested to send their English resume to.
• [email protected], [email protected], [email protected].

Skills:

Research, Python, SQL, English

Job type:

Full-time

• Generate insights and provide actionable recommendations by applying statistical and machine learning methods to large and complex datasets.
• Solve complex technical and business problems using advanced analytical methods.
• Work with engineering teams to implement end-to-end processes, from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capabilities.
• Basic Qualifications Bachelor s degree in Engineering, Computer Science, Mathematics, Physics, Statistics, or another highly quantitative field.
• Experience with statistical programming languages (e.g., Python, R, Pandas) and database software (e.g., SQL, PySpark).
• Knowledge of statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical and problem-solving skills.
• Preferred Qualifications Master s or Ph.D. 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).
• Strong coding skills or a software development background.
• Ability to think independently and communicate complex ideas to non-technical stakeholders.
• Excellent command of English, both verbal and written.
• 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.