Location
Remote
Salary
Not specified
Type
fulltime
Posted
Today
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
- 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
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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