AI & Data Scientist/Senior AI & Data Scientist
Join a fast-growing AI & Data consulting company in Japan to work on large-scale AI, machine learning, and advanced analytics initiatives. As an AI & Data Scientist or Senior AI & Data Scientist, you will design, develop, and evaluate machine learning models for structured data, support enterprise-level AI and machine learning projects, and collaborate with stakeholders to analyze business challenges and define technical solutions. The ideal candidate has experience using machine learning in real business environments, analyzing structured data, and working with Python for data analysis and modeling.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
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
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• 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
Tech Environment:
• Python
• Databricks
• Snowflake
• BigQuery
• MLOps
• Generative AI
• Cloud-based data platforms
• Machine Learning
• AI / Data Analytics
Benefits
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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
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