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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.

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.
• มีประสบการณ์พัฒนาแอปพลิเคชัน (Web หรือ Mobile) สำหรับ Data Analytics หรือ AI Model Deployment.
• 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.
• หากมีประสบการณ์พัฒนาแอปพลิเคชัน (Web หรือ Mobile) สำหรับ Data Analytics หรือ AI Model Deployment จะได้รับการพิจารณาเป็นพิเศษ.

Experience:

2 years required

Skills:

Python, SQL, Problem Solving

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 Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. 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:

Statistics, Python, SQL

Job type:

Full-time

• Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 7+ years of experience in data science, machine learning, and predictive analytics, preferably in the banking or financial services industry.
• Strong expertise in Python, R, SQL, and big data frameworks (Spark, Hadoop).
• Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proven track record of developing and deploying ML models in production environments.
• Experience working with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Strong knowledge of statistical modeling, time-series forecasting, NLP, and deep learning techniques.
• Excellent problem-solving skills and ability to communicate complex data insights to non-technical stakeholders.
• Experience in credit risk modeling, fraud detection, or financial forecasting.
• Knowledge of graph analytics, reinforcement learning, or advanced optimization techniques.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. 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 the Bank. .

Experience:

3 years required

Skills:

SQL, Python, English

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, Finance, SQL, English

Job type:

Full-time

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creation: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
• Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
• Master's degree in Finance, Business, Engineering, or a related field.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
• Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
• Good Knowledge of Statistics.
• Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having a good attitude toward teamwork 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. .

Experience:

1 year required

Skills:

Data Analysis, Digital Marketing, Industry trends

Job type:

Full-time

• Department: Information Technology.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Perform large-scale data analysis and develop effective statistical model for time series, segmentation, classification, pattern recognition, optimization, etc. on digital data (e.g., Web, App, Line, other media platform etc.).
• Develop, build and test statistical and computational models that serve as a key input for digital marketing tools.
• Identify actionable insights and suggest recommendation for data-driven marketing campaigns.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Interact and collaborate with product and marketing managers to provide impactful analysis and insights that align with business objectives.
• Work closely with other BI functions, data analyst and campaign operations to provide end-to-end analytical solutions and proactively create and test decision rules for digital marketing campaigns.
• Collaborate with internal teams on defining population segments to support personalized consumer experiences.
• Provide business requirements and collaborate with internal teams on data capture strategy that will support advanced analysis and insights on consumer behavior.
• Provide ongoing insight into industry trends in web & app analytics, site optimization, and customer segmentation.
• 1-3 years of experience in Data Scientist for solving analytical problems using quantitative approaches.
• Excellent understanding of fundamentals of statistics.
• Advanced in Python.
• Strong experimental design and analysis skills.
• Familiar with time series analysis, forecasting, and machine learning techniques, previous hands-on experience is a plus.
• Ability to manipulate and analyzing complex, high-volume, high-dimensionality data from varying sources.
• Ability to communicate complex analysis in a clear, simple, and actionable manner.
• Working knowledge of SQL and relational databases and analysis tool.
• ประสบการณ์ 2 ปีขึ้นไป.
• จำนวน 1 อัตรา.

Skills:

Data Analysis, Excel, Power BI, English

Job type:

Full-time

• Deliver insights on range reviews, promotional optimization, price optimization, customer development plan, shopper segmentation, store segmentation and advanced analysis for supplier collaboration program.
• Interpret questions from Big C merchandizing and marketing teams, design and deliver timely answers to these ad hoc requests.
• Help to improve existing analysis and Big C business process and support the supplier team in delivering advanced analytics.
• Coaching and training Big C users to have adequate knowledge of the solutions for self-sufficiency.
• Bachelor s or Master s Degree any fields.
• Experience in Data Analysis and Business Analysis.
• 3-5 years of experience working in Retail or FMCG industries.
• Able to use Excel and BI tools (Power BI, Tableau and etc.).
• Good command of English.

Skills:

Statistics

Job type:

Full-time

• Lead the development of data solutions and delivering customer and business insights to identify business opportunities or resolve business challenges.
• Translate business problem statements into analysis requirements and work with BUs to define best business outcomes.
• Manage projects, outcomes, resources, proposed proposals or opportunities, and overall execution of the corporate exercises, to ensure effective alignment with organization objectives.
• Advise and provide recommendation on project feasibility studies and project planning, to ensure projects achievement and minimize risks.
• Coordinate with related team and functions to create mutual understanding on expectations, processes, standards, and solutions for corporate strategy activities.
• Bachelors or Masters in Data Analytics, Statistics, Computer Science, Communications or related fields.
• 10+ years of experience in a major financial with large-scale data or similar program management experience.
• At least 5 years in a management role, with board level change or transformation leadership experience.
• Advanced communications, marketing, or journalism experience.
• Good experience using business intelligence tools and data visualization best practices.
• Strong storytelling and communication skills.
• Strong analytical and problem-solving skills.
• Familiarity with data validation tools.

Skills:

Research, Risk Management, Microsoft Office

Job type:

Full-time

• Transaction Monitoring:Analyze transactions in real-time using fraud detection tools and rules.
• Identify suspicious activity based on pre-defined risk profiles and behavioral patterns.
• Investigate flagged transactions and determine their legitimacy.
• Escalate high-risk cases to the Fraud Management team for further investigation.
• Fraud Investigation:Gather and analyze evidence related to suspected fraudulent activity.
• Conduct research to identify potential fraud schemes and perpetrators.
• Document findings and recommend appropriate actions, such as blocking accounts, recovering funds, or reporting to law enforcement.
• Collaborate with internal teams (customer support, risk management) to resolve cases effectively and efficiently.
• Data Analysis & Reporting:Analyze fraud trends and patterns to identify emerging threats and adjust detection rules accordingly.
• Generate reports on fraud activity, providing insights to the Fraud Management team and senior management.
• Track and measure the effectiveness of fraud prevention and detection measures.
• Stay Informed:Stay up-to-date on the latest fraud threats, trends, and best practices.
• Participate in ongoing training and development opportunities to enhance your skills and knowledge.
• Minimum of 2-3 years of experience in fraud analysis or a related field.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and ability to identify anomalies in data.
• Proficient in Microsoft Office Suite,SQL language and data analysis tools.
• Understanding of fraud detection and prevention techniques preferred.
• Effective communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Bachelor's degree in business administration, finance, IT, engineering, or a related field preferred.

Skills:

Tableau, Big Data, SQL

Job type:

Full-time

• Gathering, understanding, and analyzing detailed business requirements using appropriate tools and techniques.
• Identify trends and opportunities for growth through analysis of complex data sets.
• Create best-practice ongoing reports/dashboards based on data mining, analysis, and visualization.
• Use data to answer key questions about the business.
• Deliver takeaways from data with statistical significance.
• Experience using business intelligence or data visualization tools (e.g. Tableau, PowerBI).
• Able to analyze trends and patterns for solving business insight problems in big data by working with business users and data scientists/data engineers.
• Proficient in using SQL languages.
• Excellent in Microsoft Excel (e.g. Pivot table, vlookup) and PowerPoint.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Data-oriented personality, great communication skills, and an excellent eye for detail.

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:

Compliance, Risk Management

Job type:

Full-time

• Develop & Implement Data Governance Framework - Establish policies, standards, and best practices for data management.
• Ensure Data Quality & Integrity - Monitor and improve data accuracy, consistency, and completeness.
• Regulatory Compliance & Risk Management - Ensure adherence to data privacy laws (e.g., PDPA, GDPR) and mitigate risks.
• Define Data Ownership & Stewardship - Assign roles and responsibilities for data management across the organization.
• Manage Data Lineage & Metadata - Maintain a data catalog, track data sources, and ensure proper documentation.
• Gather & Translate Business Requirements - Convert business needs into technical specifications for development teams.
• Document functional and non-functional requirements for data and technology projects.
• System & Process Improvement - Identify gaps in existing systems and workflows and recommend improvements.
• Stakeholder Communication - Act as a bridge between business users and IT teams, simplifying complex technical concepts.
• Compliance & Security Considerations - Ensure data solutions align with governance policies and regulatory requirements.
• Bachelor s or Master s degree in Data Science, Information Management, Computer Science, Business Administration, or a related field.
• Certifications in Data Governance (e.g., DAMA CDMP), Data Privacy (e.g., CIPP/E, CIPM), or Risk Management are a plus.
• 10+ years of experience in data governance, data management, or related fields.
• 5+ years in a leadership or managerial role, overseeing data governance initiatives.
• Proven track record in developing and implementing data governance frameworks, policies, and standards.
• Hands-on experience in data quality management, metadata management, and data lineage tracking.
• Strong background in regulatory compliance (e.g., PDPA, GDPR, CCPA) and risk management.

Skills:

Compliance, Product Development, Research

Job type:

Full-time

• Develop, implement, and enhance data privacy policies, procedures, and frameworks to ensure regulatory compliance.
• Collaborate with internal and external stakeholders to integrate privacy requirements into business operations and new initiatives.
• Provide guidance on privacy-related considerations in product development, partnerships, and third-party engagements.
• Lead and conduct regular audits, risk assessments, and compliance reviews to ensure adherence to data privacy laws, regulations, and internal policies.
• Identify compliance gaps, recommend corrective actions, and oversee the implementation of remediation efforts.
• Maintain records of compliance activities and support reporting to senior management and regulatory bodies.
• Investigate, document, and manage data privacy incidents, including breaches, and support resolution efforts in collaboration with relevant teams.
• Assist in preparing reports for regulatory authorities, executive leadership, and internal reviews.
• Develop and enhance incident response protocols and escalation procedures.
• Conduct in-depth research on data privacy laws, emerging regulatory trends, and industry best practices across multiple jurisdictions.
• Provide legal analysis and recommendations to support policy updates and business decision-making.
• Monitor legislative developments and assess their impact on the organization.
• Design and deliver training programs to promote data privacy awareness and compliance across all levels of the organization.
• Create educational materials, guidelines, and internal communications to reinforce data protection best practices.
• Act as a subject matter expert and advisor on privacy-related concerns.
• Bachelor s degree in Law. A Master s degree or relevant certification.
• 3-6 years of experience in data privacy, compliance, legal advisory, or risk management roles.
• Strong understanding of data protection regulations such as GDPR, PDPA, CCPA, or other relevant laws.
• Experience conducting audits, risk assessments, and privacy impact assessments (PIAs).
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date..
• Important: Candidate Privacy Policy.
• สำคัญ:โปรดอ่านและทำความเข้าใจ: นโยบายความเป็นส่วนตัวด้านทรัพยากรบุคคล สำหรับผู้สมัครงาน และผู้สมัครเข้าฝึกงาน*.
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Skills:

Sales, Marketing Strategy, Statistics

Job type:

Full-time

• Analyze consumer behavior, market trends, and competitor data, and provide data-driven recommendations for business expansion or marketing strategy development.
• Collect sales, operational, and marketing data from internal and external sources to assess the impact of marketing campaigns and forecast business opportunities.
• Update and maintain accurate databases, and create analytical reports (Dashboards) to present data to management.
• Coordinate with marketing, sales, and other departments to gather information for analysis and address the needs of the organization.
• Bachelor's degree or higher in Data Science, Marketing, Statistics, or a related field.
• At least 2-3 years of experience in data analysis. Experience in retail business will be considered an advantage.
• Proficiency in data analysis tools such as Excel, SQL, Power BI, Tableau, or Python.
• Strong analytical skills and the ability to solve problems in a systematic manner.
• Good presentation and communication skills to convey complex information clearly.
• Attention to detail and the ability to work under pressure.
• Able to start working immediately is the priority**.

Skills:

Product Owner, Scrum, Project Management

Job type:

Full-time

• Collaborating with prospective users and clients to understand and anticipate their needs and translate them into product requirements.
• Defining the vision for the product team and maintaining a cohesive vision throughout the process.
• Creating a product road map based on this vision.
• Managing the product backlog and prioritizing the tasks based on changing requirements.
• Overseeing all stages of product creation, including design and development.
• Monitoring and evaluating product progress at each stage of the process.
• Working with the product team and end-users to deliver updates and status reports.
• Participating in Scrum meetings and product sprints.
• Bachelor degree.
• At least 4 years of working experience.
• At least 2 years of working experience in Project Management.
• In-depth knowledge of Scrum and Agile Software Development Methodology.
• Working knowledge of product development architecture.
• Proficiency in the use of analytic tools and strong analytical thinking.
• Ability to prioritize effectively.
• Contact Information:-.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Lao Peng Nguan Building, Tower 1.
• 333 Vibhavadi Rangsit Road, Ladyao Subdistrict, Chatuchak District, Bangkok 10900.

Skills:

ETL, Compliance, SQL

Job type:

Full-time

• Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into a centralized data warehouse or data lake.
• Integrate data from different sources, such as databases, APIs, and third-party applications, ensuring data consistency and accuracy.
• Create and maintain data models and schemas to facilitate data storage and retrieval, following best practices for data warehousing and database management.
• Implement data quality checks and validation processes to ensure data accuracy, completeness, and consistency.
• Optimize data pipelines and systems for performance, scalability, and efficiency, making sure data processing meets business requirements.
• Implement data security measures to protect sensitive information and ensure compliance with data privacy regulations (e.g., GDPR, HIPAA).
• Document data engineering processes, data lineage, and system architecture to facilitate knowledge sharing and future maintenance.
• Set up monitoring and alerting systems to detect and address issues with data pipelines and systems proactively.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data needs and provide the necessary infrastructure and support.
• Stay up-to-date with the latest data engineering technologies and tools, and evaluate their applicability to the organization's data stack.
• Bachelor's degree in computer science, information technology, or a related field. A master's degree is a plus.
• Strong proficiency in data engineering tools and technologies, such as SQL, ETL frameworks (e.g., Apache Spark, Apache Airflow, Apache Beam).
• Experience with Google BigQuery for data warehousing.
• Experience with Google Cloud Dataflow or Dataproc.
• Experience with programming languages like Python, Java, or Scala.
• Experience with building streaming data pipelines on Google Cloud.
• Knowledge of database design, data modeling, and data integration techniques.
• Familiarity with data governance, data security, and compliance standards.
• Problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

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:

Scrum, Project Management, Product Owner, English

Job type:

Full-time

• Banking and/or Financial Services industry experience (Core Banking / Core) OR Data & AI is required.
• Minimum Bachelor s degree or equivalent.
• At least 6 years of industry/ consulting experience (depending on seniority).
• Prior experience in business process improvements, operating model, business analysis. However, prior experience in other roles can be considered.
• Prior experience in Waterfall and/or Agile Methodologies will be ideal (ITIL, Scrum, etc would be an advantage).
• Strong application project management skill and design knowledge.
• Functional.
• Conversant in Thai & English (as this role will be interfacing with Thai stakeholders who are versed in Thai & English language).
• Ability to work in a team environment delivering quality software that meets requirements working to a timeline.
• Ability to articulate and clearly communicate complex problems and solutions in a simple and logical manner.
• Well-developed analytical skills and the ability to provide clarity to complex issues and synthesize large amounts of information.
• Able to work independently.
• Consulting and partnering with our clients to help them develop high performance industry, functional and/or digital solutions to advance their industry position.
• Act as the single point of contact for both internal and external parties to ensure smooth and consistent communication flow of business/functional requirements.
• Facilitate and drive functional workshops to drive desired design outcomes.
• Gather and analyze business requirements and translate them into functional requirements specification or user stories.
• Assess and evaluate business process, business model, and organization to identify areas of improvements, define/propose potential business and technology solution to enhance business performance.
• Define customer journey and/or operational process to serve full life cycle of banking-related process.
• Assist the product owner with creating and maintaining a healthy and ordered product backlog.
• Provide supports to other workstream such as development, testing and deployment activities.
• Communicate with other teams and stakeholders to identify, monitor and resolve functional dependencies.
• All our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You ll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career..
• Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion, or belief, ethnic or national origin, disability, age, citizenship, marital, domestic, or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law..
• The Organization.
• Accenture is an Irish-domiciled multinational professional services company that provides services in:.
• 1) Technology.
• 2) Strategy & Consulting.
• 3) Interactive.
• 4) Operations.
• As a Fortune Global 500 company, it has been incorporated in Dublin, Ireland since September 1, 2009.
• With more than 500,000 employees worldwide in 200 cities across 51 countries Accenture also operates more than 100 innovation hubs, developing solutions for cloud, finance, and other industries..
• The Pillar.
• The Groups.
• Accenture Banking & Consulting / Financial Services.
• Technology has changed the way people and businesses bank, and traditional strategies no longer work. Now is the time for bold new approaches to intensifying disruption.
• Segments.
• Retail Banking - Helping banks deliver winning experiences using the latest technology and the best of data, analytics and talent to make better decisions day to day.
• Commerical & Corporate Banking - Helping banks deliver winning experiences using the latest technology and the best of data, analytics and talent to make better decisions day to day.
• Central Banks & Regulators - Leveraging new technology, data and a lean operating model to maximize market efficiency and better regulate the industry.
• Specialty Finance - Profiting from the convergence of industries to provide custom lending experiences through advanced analytics and integrated digital processes.
• Payments - Helping banks and specialist providers create value-added payments products and services for clients across retail, public service, travel and more.

Skills:

Research, Automation, Statistics

Job type:

Full-time

• Work on Data Architecture. They use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
• Collect Data. Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.
• Conduct Research. Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Bachelor Degree in IT, computer science, statistics, mathematics, business, or related field.
• Minimum of 3 years' experience in data engineer roles.
• Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
• Experience with data tools and languages like CLOUD, Python, Java similar.
• Experience with data processing, ETL and workflow and messaging queue like Kafka.
• Data Warehousing.
• Data Structure.
• ETL Tools Programming Languages (Python, Java, Pyspark).