【年収600万 ~ 2500万円】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

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 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