833 Team Data jobs in Thailand

We are seeking a talented AI/ML Developer with strong programming skills to support our Hyper-Personalization, MarTech, and AdTech initiatives.The ideal candidate will design, develop, and implement data products that enhance campaign effectiveness and marketing personalization. This role requires close collaboration with Product Owners, IT teams, and Data teams to continuously enhance AI/ML and advanced analytics solutions. Join us to innovate, collaborate, and shape the future of banking

Key Responsibilities :

• 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/ML projects.

Qualifications and Experiences Required :

• 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.

Benefits:

• Hybrid Working Arrangement
• World-Class Development Program
• Performance Bonus
• Vacation Leave 15 Days + Maternity Leave
• MacBook Provided
• Housing Loan
• Life Insurance/ Health Insurance/ Dental Care
• Fitness Discount (Corporate rate and privilege)
• Opportunity to be a part of team that drives Thailand Digital Economy (The contributor of the great impact to millions of Thai people through digital platforms e.g. PaoTang App. and Krungthai Next App)

Working Location:

The ParQ ชั้น 5, 9-10

ติดกับ MRTสถานีศูนย์การประชุมแห่งชาติสิริกิติ์ ทางออกที่ 2

Key Responsibilities:

• Prepare data, interpret data, analyze results using standard techniques and provide ongoing report and dashboard to group of businesses.
• Communicate the results of analysis to decision makers and others affected by the results. Design the report and introduce tools that can help those involved easily digest the data.
• Support automation efforts to streamline data process using Excel, Power BI, Python or other relevant tools
• Using statistical tools to analyze data to find data insight to solve business problems
• Develop and implement statistical models to support business units in data-driven decision-making.

Qualifications:

• Bachelor's degree or higher in Computer Science, Information Technology, Data Science, Business Analytics, or a related field.
• 1 - 4 year of experience in data analysis or a related field.
• Advanced knowledge and understanding of reporting tools i.e. Power BI, Tableau is plus
• Ability to apply basic statistical techniques for insights.
• Ability to translate data into clear insights, trends, and recommended actions.

Key Responsibilities:

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations
• Implement AI/GenAI solutions to enhance customer experience and improve operational efficiency
• Lead projects to enhance data-driven decision-making across the organization, evaluate model performance and optimization strategies to improve prediction accuracy
• Work with teams to implement end-to-end process from model development to testing, validation and deployment
• Research and develop new quantitative models, AI and framework to enhance the company capability

Qualifications :

• Bachelor's or Master's degree in Data Science, Computer Science, Math, Statistics, Finance, or any related field.
• Experience applying machine learning and statistical methods to large datasets
• Outstanding coding skills or software development background
• Ability to communicate complex ideas to less technical persons
• Experience in financial industry especially banking is an advantage
• Strong Knowledge in AI and LLM is preferred

Key Responsibilities:

• Design and implement automated workflows across systems such as Excel, Outlook, AS400, and web applications.
• Automate report generation and data extraction from various sources including PDFs, emails, and web content.
• Perform end-to-end ETL processes: data extraction, transformation, and loading.
• Convert unstructured and asynchronous data into structured formats for analysis.
• Develop desktop applications to support business unit operations.
• Lead full-cycle code implementation, deployment, and maintenance.

Qualifications:

• Bachelor's degree in computer science or a related field, or equivalent practical experience
• Proficiency in pandas (Python) and SQL for data manipulation and analysis
• 1-3 years of experience as a web scrapping
• Strong attention to detail with an analytical and problem-solving mindset
• Ability to analyze complex data issues, identify root causes, and propose effective solutions
• Having experience in designing and implementing data pipelines and workflows is a plus.
• Abilities to use ETL tools such as airflow, n8n, airbyte

Key Responsibilities:

• Ensure data accuracy and quality across internal systems through regular checks and validations.
• Create and maintain data reports and dashboards to support decision-making.
• Analyze processes to find inefficiencies and suggest improvements.
• Document business processes and workflows clearly for easy reference.
• Work with stakeholders to gather requirements and translate them into actionable plans.
• Assist in planning and executing User Acceptance Testing (UAT).
• Keep process documentation updated and organized with proper version control.
• Collaborate with IT and data teams to align systems with business needs.
• Support digital transformation by identifying opportunities to automate and streamline workflows.

Qualifications:

• Degree in a relevant field (e.g., Information Systems, Business Administration, Data Science) or equivalent experience.
• Strong analytical and problem-solving skills with the ability to manage complex data.
• Attention to detail and commitment to data accuracy and integrity.
• Ability to document processes and communicate complex information clearly.
• Strong interpersonal skills and empathy for working with non-technical stakeholders.
• Methodical approach to troubleshooting and process analysis.
• Patience and perseverance in ambiguous or iterative tasks.
• High responsibility, confidentiality, and ethical standards in handling data.
• Proficiency in Excel/Google Sheets, flowcharting tools, and reporting platforms (e.g., Google Data Studio, Power BI).

Responsibilities / หน้าที่ความรับผิดชอบ:

• Designing and building data pipelines: Creating automated workflows (pipelines) that efficiently ingest, transform, and load data from disparate sources into a central repository.
• Data warehousing and storage: Designing and managing databases, data lakes, and data warehouses to ensure data is stored in an organized, efficient, and accessible manner.
• Building data platforms: Building and maintaining the foundational platforms and tools that enable data scientists and analysts to perform their work effectively.
• Data quality and governance: Implementing processes to monitor and ensure the accuracy, consistency, and reliability of data.
• Performance optimization: Monitoring and tuning the data infrastructure to improve performance, reduce latency, and lower costs.

Qualifications / คุณสมบัติ:

• Bachelor, Master degree in Computer Science, Information Technology, Data Engineering.
• 5+ years of experience in data engineering or a related field.
• Experience with data warehouse and data lake architectures.
• Excellent problem-solving, communication and leadership skills.
• Experience with ETL/ETL tools and frameworks (eg. Oracle Data Integrator) is a plus.

Job Summary

We are looking for an experienced and passionate
Senior – Lead Data Scientist
to join our advanced analytics team. In this role, you will design, build, and deliver data-driven solutions to unlock business value across retail, e-commerce, marketing, and financial domains. You will combine hands-on technical expertise with strategic thinking—whether driving execution as an individual contributor (Senior level) or leading multiple projects and mentoring team members (Lead level).

Key Responsibilities

• Design, develop, and deploy
  machine learning, AI, and advanced analytics models
  to support predictive insights and business decision-making.
• Analyze complex, large-scale datasets to uncover actionable insights and translate findings into practical business solutions.
• Build and maintain
  data pipelines, reporting dashboards, and visualization tools
  (Power BI, Tableau, Looker Studio, etc.).
• Lead or contribute to
  end-to-end projects
  : from scoping and data exploration to deployment and monitoring in production.
• Collaborate with business stakeholders, product owners, engineers, and leadership to align analytics solutions with business objectives.
• Document methodologies, communicate results, and present recommendations to both technical and non-technical audiences, including senior executives.
• (Lead-level) Manage multiple projects, prioritize initiatives, and ensure timely delivery across departments.
• (Lead-level) Provide coaching and mentorship to junior data scientists, building capabilities across the team.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Senior Level
  : 5+ years of experience in data science, advanced analytics, or applied machine learning.
• Lead Level
  : 9+ years of experience with proven leadership in data science project delivery and stakeholder management.
• Proficiency in
  Python, R, SQL, and ML/AI frameworks
  (e.g., scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with
  cloud platforms
  (AWS, Azure, GCP) and big data tools (Spark, Databricks, etc.).
• Strong data visualization and storytelling skills (Power BI, Tableau, Looker Studio).
• Excellent problem-solving, communication, and collaboration skills.
• Familiarity with Agile/Scrum methodologies.

Preferred Skills

• Experience leading cross-functional data science initiatives at enterprise scale.
• Knowledge of DevOps practices and CI/CD pipelines for data/ML solutions.
• Understanding of data governance, data quality, and compliance standards.
• Background in retail, consumer business, or financial services analytics is a plus.

Why Join Us

• Opportunity to work on impactful data projects across retail and digital transformation.
• Clear growth track—advance from
  Senior
  to
  Lead responsibilities
  within the same role.
• Collaborative, innovative environment with a focus on real business impact.

Job Description:

• Manage and lead a team of data analysts in applying advanced analytics to audit and assurance activities.

• Drive the use of AI/ML techniques (e.g., anomaly detection, behavioral modeling, predictive risk scoring) to identify suspicious or unusual patterns of activity.

• Collaborate with auditors to integrate data-driven insights into audit planning, execution, and reporting.

• Promote innovation by introducing new tools, methods, and technologies into the audit analytics function.

• Act as a trusted advisor to senior management on emerging risks, fraud trends, and digital transformation in audit

• Support the Department Head in preparing Thai and English versions of Monthly Reports and Quarterly Reports for SMT, the Audit Committee, and others.

• Timely perform ad-hoc assignments (projects or special audits) assigned by the Department Head or higher. This requires holistic, initiative, innovative, and analytical skills to perform the assigned tasks timely, with good quality and added value.

• People Development - develop and improve the skills, knowledge, and expertise of team members by providing them with appropriate training courses and advice during work review.

• Support the Department Head by serving as an expert in data analytics using modern auditors' tools and providing knowledge of various data sources for the Internal Audit Group

Qualifications:

• Bachelor's degree in business, mathematics, computer science, or management information systems.

• 5-10 years of relevant/recent data analysis experience in audit, financial, risk management, or technology functions.

• Strong quantitative, analytical, data intuition, and problem-solving skills, and proficiency in data analytics techniques.

• Hands-on knowledge of AI/ML applications in risk, fraud, or audit contexts.

• Familiarity with audit methodologies, risk frameworks, and financial industry regulations.

• Able to manage a team under pressure and deadlines.

• Proficient in computer literacy, especially tools for data analytics.

• Good command of English, both written and spoken

Talent Acquisition Department Bank of Ayudhya Public Company Limited

1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120

สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center Ext.82811

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.

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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.

**Only shortlisted candidates will be contacted"

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We are looking for:

• Data Engineer - Information Technology

Location - work at Amata City Chonburi (onsite 100%)

Our Team

This position will be under IT Application Department based on Factory and coordinate with Operation user.

What You Will Do: Job Details

• Design and implement scalable and robust data pipelines to support analytics and data processing needs.
• Develop and maintain database architectures, including data lakes and data warehouses.
• Ensure data quality and consistency through data cleaning, transformation, and validation processes.
• Collaborate with data scientists and analysts to gather requirements and deliver data solutions that support business objectives.
• Optimize data retrieval and develop dashboards and reports for various user needs.

Qualification

• Bachelor's degree in Computer Science or Engineering / Business Managment (IT) or related field
• Fresh graduates with the right skill set also welcome or have internship experience in releated field.
• Proven experience with SQL and database management systems.
• Proficiency in programming languages such as Python, Java, or Scala. Familiarity with data modeling and ETL processes
• Good Communication in English both of written and spoken

Company Description

MFEC Public Company Limited (PLC), established in 1997, is a premier IT service provider specializing in network computing and e-business. We cater mainly to large enterprise customers and industry leaders across government and private sectors. Our services include IT consulting, custom design and development, training, and comprehensive after-sales services. We offer solutions encompassing hardware and software infrastructures, network equipment, software package customization, and custom software development, tailored to meet unique business needs.

Role Description

This is a full-time, on-site role for a Data Analyst located in Bangkok. The Data Analyst will be responsible for analyzing data, interpreting results using statistical techniques, and developing data collection systems. Tasks include conducting detailed analysis, preparing reports, and presenting findings to management. The Data Analyst will also work closely with other departments to support their data needs and ensure data integrity and accuracy.

Qualifications

• Strong Analytical Skills and Data Analytics experience
• Proficiency in Statistics and Data Modeling
• Excellent Communication skills
• Attention to detail and problem-solving skills
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
• Previous experience in a similar role is advantageous
• Ability to work independently and as part of a team

Responsibilities

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, performance, and flexibility, taking into account business requirements and data analysis needs.
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.

Qualifications

• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.

Location: BTS Ekkamai

Working Day: Mon-Fri (WFA Every Friday)