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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

• Analyze client business processes and value chains, and benchmark client performance against data & AI leaders to identify opportunities to drive business value.
• Lead and contribute to the development of AI strategy and roadmap, including use case identification, business case development, and prioritization.
• Design the target operating model for Data & AI Center of Excellence.
• Conduct capabilities assessments regarding data & AI readiness and maturity.
• Collaborating with industry experts and client stakeholders to define benchmark-informed KPIs and success metrics.
• Creating executive-level deliverables including vision statements, maturity assessments, and transformation blueprints.
• 2-5 years of experience in business or technology strategy.
• Business case development.
• Operating model design.
• Capabilities- & Maturity Assessment.
• Strong client-facing skills, structured thinking, presentation skills and ability to drive workstream independently.
• Foundational understanding of how Data & AI helps address key business pain points regardless of industry.
• Experience in agri-business, supply chain, or industrial operations is highly desirable.
• Experience in a previous high impact strategy consulting role is highly desirable.
• This role is open for both Thai Nationals and Foreigners residing in Thailand.

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:

SQL, Python, SAS

Job type:

Full-time

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

Skills:

Big Data, Hive, SAS

Job type:

Full-time

• System Design: Knowledge of system design and platform thinking to build sustainable solutions.
• Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
• Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
• API Development: Experience with API design to facilitate integration of LLMs with other systems.
• Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
• Agile Methodologies: Experience with agile software delivery and CI/CD processes.
• Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
• Experience: At least 3 years of experience in data engineering and modeling.
• Technical Skills: Proficiency in Python, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms.
• Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
• Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
• Growth Potential: This role offers a clear path to advance into AI engineering, providing opportunities to work on innovative projects and develop new skills in AI transformation and machine learning..
• 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, Analytical Thinking, English

Job type:

Full-time

• English as working language.
• Minimum of 3 years data analytics related working experiences.
• At least 1 year of working experience directly communicate to business team.
• Proficient in Python or SQL.
• Advanced hands on experiences with visualization tool.
• Strong communication and analytical thinking skills.
• Good balance of data and business knowledge.
• Fintech or banking industry.
• Internet companies with mobile application.
• 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, Industrial Engineering, Finance

Job type:

Full-time

• Insight Generation & Strategic Recommendations: Utilize deep knowledge of market trends, financial data, and process standards to generate actionable insights. Develop analysis models and provide strategic recommendations that drive business decisions and improvements in operations efficiency.
• Business Analysis & Reporting: Collaborate with senior management to analyze internal and external data sources. Develop comprehensive reports and presentations that support key initiatives and guide the business in trial projects and rollouts.
• Model Development & Data Integrity: Develop and maintain robust analytical models that support business analysis. Ensure data integrity and create best-practice reports based on thorough data analysis and visualization.
• Stakeholder Collaboration & Facilitation: Lead and facilitate collaboration across the business, ensuring alignment and engagement among stakeholders. Work closely with process and budget owners to achieve business objectives and implement strategic recommendations.
• Project Tracking & Risk Mitigation: Regularly monitor and update project progress, ensuring milestones are met. Develop and execute mitigation plans for any critical issues, ensuring the successful delivery of projects.
• Consultation & End-User Support: Provide initial consultation and tailored solutions to stakeholders based on business analysis. Occasionally develop dashboards and train end users to ensure effective use of insights and tools.
• 2-5 years+ working experience in Data Analytics, Process Improvement.
• Master's Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
• Skilled in process improvement, project management, and data analysis.
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Ability to work independently and under pressure with business-partnering mindset.
• Good presentation, communication and influencing skills.
• Able to work 2 sites' office ( Head office - Phattanakarn, and Central office - Nawamin office).
• 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:

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.
• Experience in data governance, data management, or related fields.
• Skills 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.

Experience:

2 years required

Skills:

UNIX, Linux

Job type:

Full-time

• Provide administration of Informatica platform suite including Axon, EDC, BDQ and other tools to support Data Governance activities.
• Evaluate platform needs, configure, manage and maintain technical details of each module.
• Manage/coordinate creation and maintenance of connections between the Informatica tools and other data sources/applications.
• Manage user roles and access within Informatica platform including configuration and ongoing review process.
• Perform batch management and troubleshooting.
• Coordinate/plan platform maintenance and release management.
• Manage onboarding new users onto the platform.
• Provide initial support for incidents related to the platform.
• Contribute to documentation, review & communication of related platform manuals.
• Other system/technical related activities under Data Governance responsibilities e.g. supporting technical solution for Role-Based Access Control and Data Lake user access request. Qualification2-5 years of relevant experience in a systems administration role. Experience with Informatica platform or similar type of data management tool is a plus.
• Knowledge of Metadata Management and Data Quality Management.
• Knowledge of the software security model and adaptability.
• Knowledge of AD authentication models and LDAP integration.
• Knowledge of Unix (Linux) and Window environment system.
• Knowledge of Cloud environment.
• 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:

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.
• 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:

Compliance, Data Analysis, SQL

Job type:

Full-time

• Enforce enterprise data quality management framework.
• Develop data profiling and observe any trends or issues to raise with data stewards or senior management.
• Define data quality metrics requirements with Data Stewards (e.g. DQ dimensions, business rules, data quality index, reports) in compliance with Data Quality standards.
• Generate DQI dashboard based on the results.
• Consolidate DQI performance results on overall data health at an enterprise level.
• Coordinate remediation plans with Data Stewards.
• Monitor outcome of data quality improvement initiatives.
• Support business engagement on data quality improvement initiatives.
• Collaborate with DataX (Centralized Data Hub) Define data quality metrics requirements in compliance with data quality standards for data in SCB data zone.
• Monitor DQI performance results on overall data health for data in SCB data zone.
• Perform data quality profiling, issues investigation and remediation plan in SCB data zone.
• Consult on the escalation of data quality issues investigation and remediation to DataX Data Governance.
• Qualification Senior Bachelor s or master s degree in information systems, computer science, information technology or related discipline.
• Experience in data management e.g. data governance program implementation and data quality program implementation in banking or other industry.
• Experience in data analysis, data profiling, and communicating concepts and results to a variety of audiences.
• Experience in using data visualization or reporting tools i.e. Business Intelligence tool, Data Quality tool, or statistical package.
• Good knowledge of programming languages particularly in SQL and statistical knowledge.
• Good understanding of banking products, respective data domains, as well as relationships with system domains and banking data concepts with emphasis on metadata definitions (business and technical).
• Ability to absorb information and data from multiple sources, apply strong analytical skills, and provide thoughtful and strategic recommendations to deliver tangible business value.
• Ability to work on cross-functional units with excellent verbal & written communication skills.
• Junior Bachelor s degree in information systems, computer science, information technology or related discipline.
• Good knowledge of programming languages particularly in SQL and statistical knowledge.
• Experience in data analysis, data profiling, and communicating concepts and results to a variety of audiences.
• Experience in using data visualization or reporting tools i.e. Business Intelligence tool, Data Quality tool, or statistical package.
• 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:

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. .

Skills:

Python, Power BI, Data Analysis

Job type:

Full-time

• Create, Develop and Monitor Auto Replenishment & Parameter.
• Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
• Investigate and identify root cause of overstocking and OOS at Store/DC.
• Monitoring of target stock on normal/seasonal period to suit with business sale target.
• Adjust daily sales in system to correct average daily sales after promotion period.
• Forecasting demand in each promotion campaign to manage Parameter setting.
• Develop Daily KPI Dashboard to monitor sales performance VS Suggest number from system.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic, Data Scientist and other relate filed.
• Have experience in System Analysis, Data Analysis, Supply Chain Analysis for 2-5 Years.
• Have experience in Retail / FMCG business would be advantage.
• Excellent for Excel, Power BI, Python.
• Good Analytic skills.

Skills:

Data Analysis, Excel, Power point

Job type:

Full-time

• วิเคราะห์ข้อมูลยอดขาย ผลการดำเนินงาน เปรียบเทียบเป้าหมาย.
• วิเคราะห์ข้อมูลกิจกรรมส่งเสริมการขาย และสรุปรวบรวมผลการจัดกิจกรรมเสนอผู้บริหาร.
• วิเคราะห์ข้อมูลการตลาด อัตราการการเติบโต,ราคา,อายุสินค้า,การกระจาย, การจัดเรียง,การซื้อซ้ำ โดยรวบรวมรายงานทั้งข้อมูลบริษัทและข้อมูลคู่แข่ง ฯลฯ.
• ร่วมจัดทำงบประมาณประจำปี (ยอดขายและกิจกรรมส่งเสริมการขาย).
• ตรวจสอบการจัดทำเงินจูงใจ คอมมิชชั่น รวมถึงผลตอบแทนกิจกรรมส่งเสริมการขาย และนำเสนอผู้บริหาร.
• รวบรวมข้อมูลยอดขายและกิจกรรมส่งเสริมการขาย สินค้าออกใหม่.
• สรุปรวบรวมประมาณการขาย.
• ควบคุมการค่าใช้จ่ายส่งเสริมการขาย เปรียบเทียบงบประมาณ.
• ร่วมวางแผน ปรับปรุงระบบการทำงานกับทีมขายและสนับสนุนการขายที่เกี่ยวข้อง พัฒนารูปแบบรายงานต่างๆให้เป็นมาตรฐานเดียวกันทั่วประเทศ.
• สรุปนโยบายการขาย/กิจกรรมส่งเสริมการขาย และแนวปฏิบัติ ให้ทีมงานที่เกี่ยวข้องปฏิบัติเป็นแนวทางเดียวกัน.
• ดูแลสื่อส่งเสริมการขาย POP-POS พร้อมกับติดตามการจัดการและการนำไปใช้งานให้เกิดประโยชน์อย่างคุ้มค่า.
• จัดทำฐานข้อมูลData ในระบบต่างๆ ของบริษัทให้ถูกต้องครบถ้วน ให้เป็นปัจจุบัน.
• ดูแลการตรวจสอบฐานข้อมูลร้านค้า.
• อื่นๆที่ได้รับมอบหมาย.
• ปริญญาตรี/โท สถิติประยุกต์ ด้านบัญชี การเงิน บริหารธุรกิจ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ด้านงานวิเคราะห์ หรือบัญชีบริหารอย่างน้อย 2-5 ปี.
• มีความรู้ในธุรกิจ Fast Moving Consumer Goods (FMCG).
• มีทักษะทางด้านการใช้MS Officeโดยเฉพาะ Excel ขั้นสูง Power Point, Power BI, SQL, Python.
• ติดต่อสอบถาม.
• สำนักทรัพยากรบุคคล.
• ชั้น 3 อาคารแสงโสม 3 ถ.วิภาวดีรังสิต แขวงจอมพล เขตจตุจักร กรุงเทพฯ 10900.

Skills:

SQL, SPSS, SAS, English

Job type:

Full-time

• Create team action plans regarding data analytics in alignment with the department and company s direction.
• Work collaboratively with departmental heads to analyze business initiatives and requirements as well as deliver value through data analytics tools.
• Manage the team to design and develop data analytics outcomes including analysis results in terms of trends anomalies or patterns, insights and reporting dashboards.
• Present findings, guidance or summary of the analysis results pertaining to data-driven decision-making using business intelligence tools.
• Convince and advise business users, leads together with committees to convert insights into business action, such as sales campaign execution and interaction with customers.
• Identify and measure benefits of the company s investment, activities or action brought about by data analytics.
• Master's degree or higher in Computer Science, MIS or related fields.Computer Science / IT and / or Digital certifications preferred.
• Data management and business intelligence professional.
• At least 8-10 years of experience in data-driven analytics using tools such as SQL, SPSS, SAS, Alteryx, QlikView, Tableau and Power BI.
• Excellence Communication in Thai and English.

Skills:

Compliance, SAP, Risk Management

Job type:

Full-time

• Define and execute robust data migration and modernization architecture, with a strong emphasis on data product architecture for scalable enterprise systems..
• Implement data lifecycle management strategies aligned with business goals and compliance requirements..
• Ensure accurate and efficient SAP Master Data Migration, with a focus on seamless transition to SAP S/4HANA environments..
• Generative AI Strategy & Implementation.
• Leverage, customize, and implement Generative AI models, algorithms, and methodologies to enhance the quality and performance of AI-driven products and applications..
• Analyze and evaluate the performance of Gen AI systems and provide technical design recommendations for continuous improvement..
• Architect and design end-to-end Generative AI solutions tailored to business needs and guide their successful delivery and integration..
• Bachelor s Degree in Information Technology, Computer Science, Data Science, or any relevant field..
• Expert proficiency in SAP Master Data Migration with proven implementation experience..
• Intermediate proficiency in SAP S/4HANA, particularly in data conversion and transformation contexts..
• Minimum 1 year of hands-on experience in data migration, AI implementation, or relevant related fields..
• Advanced proficiency in SAP FSCM Treasury and Risk Management (TRM) modules..
• Familiarity with Gen AI platforms like OpenAI, Google Vertex AI, or similar.
• Understanding of data governance, security, and privacy principles within AI systems.
• SAP Data Migration.
• SAP S/4HANA Integration.
• Data Architecture & Lifecycle Management.
• Generative AI Models & Algorithms.
• Performance Analysis & System Optimization.
• AI Solution Design and Deployment.
• You will 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.
• About Accenture.
• We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We re proud to be consistently recognized as one of the World s Best Workplaces .Join Accenture to work at the heart of change.
• Visit us at www.accenture.com.
• Equal Employment Opportunity Statement.
• All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
• Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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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.

Experience:

5 years required

Skills:

Research, English

Job type:

Full-time

• Support the conduct of fieldwork on client s policies, documentation, and processes against applicable bases (e.g. regulations, industry standards, etc.) as part of assessments and drafting of reports;.
• Support implementation efforts in relation to drafting of policies, templates, processes, etc. to assist client s remediation of gaps;.
• Support coordination of project activities internally and with the client project team as required to drive the engagement;.
• Support the conduct of training sessions to clients as part of project delivery, such as drafting training decks, coordinating administrative matters for the training conduct, etc.;.
• Support activities as relevant and required for implementation of data privacy/protection, security, and governance technological solutions, including development of requirements specifications and test scripts, conducting configuration activities and testing, etc.;.
• Conduct research as required in relation to client engagements, publications, and/or other purposes as required.
• Your role as a leaderAt Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultants across our Firm are expected to:Develop diverse, high-performing people and teams through new and meaningful development opportunities.
• Collaborate effectively to build productive relationships and networks.
• Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
• Align your team to key objectives as well as set clear priorities and direction.
• Make informed decisions that positively impact the sustainable financial performance and enhance the quality of outcomes.
• Influence stakeholders, teams, and individuals positively - leading by example and providing equal opportunities for our people to grow, develop and succeed.
• Lead with integrity and make a strong positive impact by energising others, valuing individual differences, recognising contributions, and inspiring self-belief.
• Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
• Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.
• Requirements3-5 years of relevant working experience in the similar field;.
• Diploma or Bachelor s degree from an accredited college/university. Prefer relevant fields such as Law, Cybersecurity, Information Security, or modules around data management, governance, protection and/or privacy;.
• Analytical mind with good troubleshooting skills;.
• Able to conduct and manage project activities independently;.
• Interest in data privacy, governance, and protection;.
• Fluent in English (written and spoken). Fluency in Mandarin/Chinese is a bonus;.
• Certifications such as CIPM, CIPP, CIPT, CISM, CISSP, CISA, etc. is an advantage;.
• Coding knowledge is a bonus.
• Able to manage projects independently;.
• Proven track record of implementing Data Privacy technologies such as PrivacyOps (e.g. consent management, data discovery and inventory, etc.), and/or Data Protection technologies such as Data Loss Prevention, Data Classification, Masking or Tokenization Technology, Encryption, Backup, etc.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. #LI-CQ1 Requisition ID: 107794In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Skills:

Compliance, Research, Automation

Job type:

Full-time

• DataOps, MLOps, and AIOpsDesign, build, and optimize scalable, secure, and efficient data pipelines for AI/ML workflows.
• Automate data ingestion, transformation, and deployment across AWS, GCP, and Azure.
• Implement MLOps and AIOps for model versioning, monitoring, and automated retraining.
• Ensure performance, security, scalability, and cost efficiency in AI lifecycle management.
• Performance Optimization & SecurityMonitor, troubleshoot, and optimize AI/ML pipelines and data workflows to enhance reliability.
• Implement data governance policies, security best practices, and compliance standards.
• Collaborate with cybersecurity teams to address vulnerabilities and ensure data protection.
• Data Engineering & System IntegrationDevelop and manage real-time and batch data pipelines to support AI-driven applications.
• Enable seamless integration of AI/ML solutions with enterprise systems, APIs, and external platforms.
• Ensure data consistency, quality, and lineage tracking across the AI/ML ecosystem.
• AI/ML Model Deployment & OptimizationDeploy and manage AI/ML models in production, ensuring accuracy, scalability, and efficiency.
• Automate model retraining, performance monitoring, and drift detection for continuous improvement.
• Optimize AI workloads for resource efficiency and cost-effectiveness on cloud platforms.
• Continuous Learning & InnovationStay updated on AI/ML advancements, cloud technologies, and big data innovations.
• Contribute to proof-of-concept projects, AI process improvements, and best practices.
• Participate in internal research, knowledge-sharing, and AI governance discussions.
• Cross-Functional Collaboration & Business UnderstandingWork with business teams to ensure AI models align with organizational objectives.
• Gain a basic understanding of how AI/ML supports predictive analytics, demand forecasting, automation, personalization, and content generation.
• Bachelor s degree in Computer Science, Data Engineering, Information Technology, or a related field. Advanced degrees or relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer) are a plus.
• Experience:Minimum of 3-5 years experience in a data engineering or operations role, with a focus on DataOps, MLOps, or AIOps.
• Proven experience managing cloud platforms (AWS, GCP, and/or Azure) in a production environment.
• Hands-on experience with designing, operating, and optimizing data pipelines and AI/ML workflows.
• Technical Skills:Proficiency in scripting languages such as Python and Bash, along with experience using automation tools.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) is desirable.
• Strong knowledge of data processing frameworks (e.g., Apache Spark) and data pipeline automation tools.
• Expertise in data warehouse solutions and emerging data lakehouse architectures.
• Experience with AWS technologies is a plus, especially AWS Redshift and AWS SageMaker, as well as similar tools on other cloud platforms.
• Understanding of machine learning model deployment and monitoring tools.

Job type:

Full-time

• Learning data operations with a thorough knowledge and understanding of relational databases, data structures, and the ability to cleanse, analyze, and connect data from multiple sources.
• Monitor and manage data quality processes and security of data.
• Can work night shift as required between 11PM- 7AM. Sometimes may work over day working hour with team as aligned with manager.
• Record all the incident when a job failed and fixed problem as soon as possible for making sure delivered data within SLA.
• Able to query data by user request and ensure the quality of service, responsible for user support.
• Document data operations and monitoring solutions in clear, concise guides.
• Manual export data from 3rd party (ex. e-mail, website) to input data warehouse.
• Operational improvement.
• Ensure that the service desk is providing effective and efficient support for users experiencing data-related issues.
• Data and Report Quality Assurance: lead data and report testing to identify discrepancies or errors.
• Communication: Keep stakeholders informed about data operations, incidents, and service desk performance.
• Align with business objectives: Collaborate with business units to understand their data needs and ensure the data operations support their goals..
• Specification
• Bachelor's Degree in Business Administration, Computer Science, Information Technology or related.
• Be responsible to ensure daily work is completed as per SLA to ensure system stability and availability for users before start of working hour e.g. Data runs successfully and completed for use by 8.30AM.
• Able to work in shift (day/night).
• Strong SQL, PL SQL, Python skills.
• Experience with Qlik Sense and Power BI will be advantage.
• Key Competencies
• Negotiated Skill.
• Follow up incident in short-term, long-term solution.
• Independence and dynamic with decision making and problem-solving skills.