EVENTS
Tuesday, June 23 (Online)
Digital Business Transformation Services Division: Data Science Domain Information Session
■Recruitment Background
The Fast Retailing Group aims to become the No. 1 brand most loved by customers worldwide, serving as the “clothing infrastructure” essential to comfortable daily lives for everyone. The utilization of technology and data plays a central role in achieving this goal, and our Digital Business Transformation Services Department (IT Division) is a key driver of business growth.In the field of data science, in particular, our data scientists are working closely with the front lines of our business—including e-commerce, SCM, and retail stores—to drive innovation across the Group’s business processes.
For this event, we will host an online information session based on a newsletter article titled “The Current State of Implementing Mathematical Information Technology in the Supply Chains of Manufacturers and Retailers,” contributed by our Lead Data Scientist to the System Innovation Center. During the session, we will share firsthand accounts from our employees regarding the realities and day-to-day work that couldn’t be fully covered in the article. We warmly welcome anyone who would like to “hear more about it first” or “gather information with an eye toward a future career change.” Please feel free to register.
*You can read the newsletter article we’ll be introducing via the link below. We encourage you to take a look.
The Current State of Implementing Information and Mathematical Technologies in Manufacturing and Retail Supply Chains
■ Event Program
・Talk Session: The Current State of Implementing Information and Mathematical Technologies in Manufacturing and Retail Supply Chains
・Roundtable Discussion: Casual Q&A with Data Scientists
*The roundtable discussion will be conducted in groups organized by theme. The four themes are as follows:
① Product Planning/Sales Channels: Product planning support and optimization of the shopping experience using generative AI, GIS, statistical analysis, etc.
② Demand Forecasting (Data Scientist): Demand forecasting using machine learning and deep learning
③ Demand Forecasting (Project Manager): Driving demand forecasting projects and decision-making
④ Production and Logistics Operations: Supply chain optimization using mathematical optimization and operations research
■ Event Information
・Date and Time: Tuesday, June 23, 2026, 7:00 PM – 8:00 PM
・Format: Online (via Teams)
・How to Apply: Please attach your resume and work history, and in the “What motivated you to apply?” field, list up to two preferred discussion groups
・Application Deadline: Sunday, June 21, 2026, 11:59 PM (JST)
*We plan to send instructions on how to participate via email by Monday, June 22.
*Depending on the number of applicants, we may adjust the discussion group assignments.
*Please note that if we receive more applications than we can accommodate, we may close registration before the deadline or conduct a lottery. We appreciate your understanding.
The Fast Retailing Group aims to become the No. 1 brand most loved by customers worldwide, serving as the “clothing infrastructure” essential to comfortable daily lives for everyone. The utilization of technology and data plays a central role in achieving this goal, and our Digital Business Transformation Services Department (IT Division) is a key driver of business growth.In the field of data science, in particular, our data scientists are working closely with the front lines of our business—including e-commerce, SCM, and retail stores—to drive innovation across the Group’s business processes.
For this event, we will host an online information session based on a newsletter article titled “The Current State of Implementing Mathematical Information Technology in the Supply Chains of Manufacturers and Retailers,” contributed by our Lead Data Scientist to the System Innovation Center. During the session, we will share firsthand accounts from our employees regarding the realities and day-to-day work that couldn’t be fully covered in the article. We warmly welcome anyone who would like to “hear more about it first” or “gather information with an eye toward a future career change.” Please feel free to register.
*You can read the newsletter article we’ll be introducing via the link below. We encourage you to take a look.
The Current State of Implementing Information and Mathematical Technologies in Manufacturing and Retail Supply Chains
■ Event Program
・Talk Session: The Current State of Implementing Information and Mathematical Technologies in Manufacturing and Retail Supply Chains
・Roundtable Discussion: Casual Q&A with Data Scientists
*The roundtable discussion will be conducted in groups organized by theme. The four themes are as follows:
① Product Planning/Sales Channels: Product planning support and optimization of the shopping experience using generative AI, GIS, statistical analysis, etc.
② Demand Forecasting (Data Scientist): Demand forecasting using machine learning and deep learning
③ Demand Forecasting (Project Manager): Driving demand forecasting projects and decision-making
④ Production and Logistics Operations: Supply chain optimization using mathematical optimization and operations research
■ Event Information
・Date and Time: Tuesday, June 23, 2026, 7:00 PM – 8:00 PM
・Format: Online (via Teams)
・How to Apply: Please attach your resume and work history, and in the “What motivated you to apply?” field, list up to two preferred discussion groups
・Application Deadline: Sunday, June 21, 2026, 11:59 PM (JST)
*We plan to send instructions on how to participate via email by Monday, June 22.
*Depending on the number of applicants, we may adjust the discussion group assignments.
*Please note that if we receive more applications than we can accommodate, we may close registration before the deadline or conduct a lottery. We appreciate your understanding.
