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Data Scientist Senior Data Scientist | Fast-Growing AI & Cloud Data Transformation Company


Job Location:

Tokyo - Japan

Monthly Salary: Not provided by the employer
Experience Required: 1Year
Posted: 24 May 2026 (30+ days ago)
Application Deadline: 21 August 2026
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

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 Foreginer Candidates a valid Japanese work visa and at least JLPT N2-level Japanese (or equivalent business Japanese communication skills) are required to apply.


Position Levels

  • 13 years of experience: 5M 10M JPY
  • 3 years of experience: 10M 25M JPY

The company works directly with major enterprise clients in Japan 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

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

Tech Environment:

Python
Databricks
Snowflake
BigQuery
MLOps
Generative AI
Cloud-based data platforms
Machine Learning
AI / Data Analytics

Benefits
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

Additional Information:
Non-smoking office environment
Flexible internal role mobility and career growth opportunities

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 Japans financial industry