GAIDOOR RECRUIT

We are currently partnering with a fast-growing AI & Data consulting company in Japan that is actively expanding its AI & Data division and is now looking for both Data Scientists and Senior Data Scientists.

 

_Please note that prior financial industry experience is NOT required._

 

_For Foreigner Candidates, a valid Japanese work visa and Japanese Business Level are required to apply._

 

Position Levels

* 1–3 years of experience: ¥5M – ¥10M JPY
* 3+ years of experience: ¥10M – ¥25M JPY

 

This is an excellent opportunity for someone who wants to work at the intersection of enterprise AI, large-scale data architecture, and real business transformation within Japan’s financial industry

 

The company works directly with major enterprise clients (in Japan & Global) on large-scale AI, machine learning, and advanced analytics initiatives. Their projects cover everything from enterprise AI enablement and cloud-based analytics environments to MLOps implementation, Generative AI initiatives, and organization-wide data utilization strategies.

 

These positions offer the opportunity to work on real-world AI implementation projects involving machine learning, structured data analytics, cloud-native data platforms, and next-generation enterprise AI ecosystems.

 

The environment is highly collaborative and technology-driven, combining hands-on development, advanced analytics, and business-oriented AI implementation projects.

 

Interview Process:

• First online interview

• Final in-person interview at the Tokyo office

 

Key Responsibilities:

• Support enterprise-level AI and machine learning projects

• Design, develop, and evaluate machine learning models for structured/table data

• Perform data processing, feature engineering, and model evaluation using Python

• Support production-ready AI/ML implementation with MLOps considerations

• Collaborate with stakeholders to analyze business challenges and define technical solutions

• Participate in AI implementation, PoC, and advanced analytics initiatives

• Contribute to reusable AI/analytics frameworks and internal solution development

• Support enterprise AI modernization and Generative AI projects

 

Examples of projects include:

• Enterprise AI and machine learning implementation initiatives

• AutoML evaluation and deployment support

• Generative AI operational efficiency projects

• Data preprocessing and analytics support for AI model development

• AI/ML model deployment and evaluation workflow design

• Enterprise-wide data utilization and AI transformation projects

 

Environment & Culture:

• Flat and collaborative engineering culture

• Strong focus on AI, machine learning, and cloud-native technologies

• AI-first environment with active use of Generative AI internally

• Flexible hybrid work environment

• Direct communication with leadership and high ownership culture

• Active investment in learning, certifications, conferences, and technical growth

• Multicultural environment with English used in some internal meetings

 

Requirements:

• Experience using machine learning in real business environments

• Experience analyzing structured/table data

• Experience with Python for data analysis and modeling

• Business-level Japanese (JLPT N2+ or equivalent)

• Eligibility to work in Japan

 

Preferred:

• Experience with Snowflake, Databricks, BigQuery, or modern cloud data platforms

• Experience with MLOps or production AI systems

• Experience creating business value through data analysis

• Experience with AI or Generative AI-related initiatives

• English communication skills

• Enterprise or consulting project experience

 

Benefits

Compensation & Benefits:

• Annual salary: ¥6M – ¥25M JPY

• Location: Nihonbashi, Chuo-ku, Tokyo

• Hybrid work style available (office + remote work combination)

• Full flex-time system (no core time)

• Standard working hours: 8 hours/day

 

Holidays & Time Off:

• Full two-day weekend system

• 123 annual holidays annually

• Paid leave granted after probation period

• Refresh leave / New Year holidays / parental leave / condolence leave

 

Benefits:

• Defined contribution pension plan

• Learning & self-development support

• Internal/external networking support budget

• Sports & wellness allowance

• Full annual health check support

• Full influenza vaccination support including dependents

• Full transportation reimbursement

• Relocation support (eligible employees)

• Childcare/babysitter support

• Business trip & training allowances

• Marriage / childbirth / condolence support system

 

Insurance:

• Health insurance

• Employee pension

• Employment insurance

• Workers’ compensation insurance

Machine Learning

Project management

Data

Support

Data analytics

Python

Cloud

Communications

Analysis

Data architecture

Growth

Network

Data Science

MLOps

Cloud Native

Generative AI

Data processing

Feature Modeling

Snowflake

Databricks

Google BigQuery

Financial Analysis

Consulting

Data modeling

Data Engineering

Data Scientist【年収~ 2500万円】 | Fast-Growing AI & Cloud Data Transformation Company