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

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

• 1–3 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 Japan’s financial industry