Data Scientist - Customer Service Development Department, Product Development Division, Rakuten Payment, Inc. (Secondment)

Rakuten global.rakuten.com Open

Tokyo Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Rakuten. Tokyo · full-time.

Pay not stated Data Scientist salary

RoleData Science

SeniorityMid-level

LocationTokyo

EmploymentFull-time

PostedSep 4, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Build data science solutions for FinTech use cases such as behavior prediction, scoring and fraud detection
Use tools such as AutoML to help deliver solutions suited to each business problem
Work with project managers and data-processing system developers to advance AI projects
Contribute to AI adoption, operational improvements and shared data infrastructure across FinTech

What you bring

At least three years working in machine learning, data analysis, data visualization or a related development area
You understand common machine learning algorithms and ways to evaluate models
You can program in Python, R or similar, and have SQL and database experience
You communicate well and collaborate with colleagues inside and outside your team

Who this fits

This mid-level role suits a data scientist who wants to apply AI to varied FinTech problems and work closely with project managers and system developers. You will be employed by Rakuten Group, Inc. and seconded to Rakuten Payment, Inc. Vendor communication is in Japanese, while documents are written in English; the stated language levels are intermediate English and advanced Japanese.

From the employer

Job Description:

Business Overview

As a member of the Rakuten Group FinTech Group Company, Rakuten Payment aims to realize a cashless society by developing businesses centered on payment and marketing services. Through its main services such as "Rakuten Pay (app payment)," "Rakuten Edy," and "Rakuten Point Card," it provides users with a convenient and secure payment experience.

Department Overview

We also function as a CoE (Center of Excellence) organization within the FinTech Group Company, responsible for promoting AI.

We leverage AI technology to create value for FinTech services through the following activities:

- Promoting AI adoption within the company through AI education and training.

- Improving operational efficiency and creating new value through the planning and execution of AI projects.

- Building and optimizing a data infrastructure that can be used across FinTech.

Position:

Why We Hire

We are looking for a data scientist to work with us to accelerate the promotion of AI for FinTech services.

Position Details

The scope of AI applications in FinTech services is wide-ranging, including behavior prediction, scoring, and fraud detection. Data scientists are responsible for contributing to the business by providing the best solutions for these various situations while utilizing tools such as AutoML.

In Rakuten's fast-growing FinTech service, you will be able to create added value and realize the impact of AI.

Work Environment

We promote projects in collaboration with project managers and members who are primarily responsible for the development of data processing-related systems

Mandatory Qualifications:

- At least 3 years of experience in machine learning, data analysis, data visualization, or related development.

- Familiarity with typical machine learning algorithms.

- Understanding of typical evaluation methods for machine learning models.

- Programming skills (Python, R, etc.)

- Knowledge and experience with SQL and databases.

- Strong communication skills and the ability to work collaboratively with others both inside and outside of the team.

Desired Qualifications:

- Experience leading teams of developers and analysts.

- A keen interest in new technologies and tools.

- Experience in practical application of data- and AI-enabled systems and services

Others Information: