Lead Data Scientist - Global Financial / Insurance Leader (Tokyo, Hybrid)
Relocation
AI Summary
Lead advanced analytics and machine learning initiatives for a global financial/insurance leader in Tokyo. This senior, hands-on role requires translating business challenges into scalable, data-driven solutions. Requires strong Python, SQL, ML expertise, and financial/insurance domain knowledge.
Key Highlights
Drive advanced analytics and machine learning initiatives impacting customer engagement, operations, and business growth.
Senior, hands-on leadership role collaborating with Japanese business stakeholders.
Utilize cloud platforms (Azure) and MLOps practices for analytics and ML delivery.
Key Responsibilities
Partner closely with business stakeholders (primarily in Japanese) to gather requirements, understand business context, and define data-driven solutions.
Lead end-to-end data analytics and machine learning initiatives, from concept and planning through implementation and delivery.
Collaborate with data platform and IT teams to manage dependencies, resolve blockers, and ensure smooth development and deployment.
Design, develop, deploy, and manage machine learning models aligned with business objectives.
Apply CI/CD, MLOps, DevOps practices, and cloud platforms (Azure or similar) to streamline analytics and ML delivery.
Use SQL, Python, Pandas, PySpark, AzureML, and Power BI to build robust analytics solutions and data models.
Leverage financial or insurance domain knowledge—especially in distribution, operations, and marketing—to drive successful outcomes.
Ensure responsible and ethical use of AI in line with governance and compliance standards.
Produce clear documentation, technical specifications, and project deliverables for analytics and ML initiatives.
Communicate progress, insights, and results through presentations and reports to leadership and cross-functional teams.
Proactively propose enhancements and new solutions based on emerging technologies, including Generative AI.
Technical Skills Required
Benefits & Perks
Hybrid work model
Relocation support available
Nice to Have
Advanced degree or formal specialization in data & analytics
Azure certifications (Data Scientist, Enterprise Data Analyst, Data Engineer)
Job Description
- Leading insurance companies
- Highly skilled and motivated Data Scientist
- A robust data platform in a cloud environment
(Tokyo | Hybrid | Japanese & English-speaking environment)
Location: Tokyo, Japan (Hybrid work model)
Type: Full-Time
Languages: Japanese (Advanced), English (Intermediate)
Open to overseas candidates – relocation support available
Join a leading global financial and insurance organization as a Lead Data Scientist, where you’ll drive advanced analytics and machine learning initiatives that directly impact customer engagement, operations, and business growth. This is a senior, hands-on leadership role for professionals who can translate complex business challenges into scalable, data-driven solutions while collaborating closely with Japanese business stakeholders.
If you are interested to learn more, email Betrand.Chris@gmail.com or apply here.
🔧 Key Responsibilities
- Partner closely with business stakeholders (primarily in Japanese) to gather requirements, understand business context, and define data-driven solutions
- Lead end-to-end data analytics and machine learning initiatives, from concept and planning through implementation and delivery
- Collaborate with data platform and IT teams to manage dependencies, resolve blockers, and ensure smooth development and deployment
- Design, develop, deploy, and manage machine learning models aligned with business objectives
- Apply CI/CD, MLOps, DevOps practices, and cloud platforms (Azure or similar) to streamline analytics and ML delivery
- Use SQL, Python, Pandas, PySpark, AzureML, and Power BI to build robust analytics solutions and data models
- Leverage financial or insurance domain knowledge—especially in distribution, operations, and marketing—to drive successful outcomes
- Ensure responsible and ethical use of AI in line with governance and compliance standards
- Produce clear documentation, technical specifications, and project deliverables for analytics and ML initiatives
- Communicate progress, insights, and results through presentations and reports to leadership and cross-functional teams
- Proactively propose enhancements and new solutions based on emerging technologies, including Generative AI
Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
- Bachelor’s degree in Statistics, Econometrics, Operations Research, Marketing Science, Machine Learning, or a related quantitative field
- Advanced degree or formal specialization in data & analytics is a plus
- 5+ years of experience in advanced analytics or data science roles delivering measurable business impact
- Proven leadership experience managing or leading data science / analytics teams
- Strong expertise in machine learning techniques (classification, regression, clustering, time-series, dimensionality reduction)
- Proficient in Python and SQL, with strong problem-solving and analytical skills
- Solid experience with Power BI and data visualization for business stakeholders
- Hands-on experience with Azure-based analytics and ML solutions, including CI/CD and MLOps
- Background in financial or insurance industries, particularly in operations, marketing, or distribution
- Azure certifications (Data Scientist, Enterprise Data Analyst, Data Engineer) are highly valued
- Strong communication skills with the ability to explain complex concepts to non-technical audiences
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
- Lead high-impact analytics initiatives at a global financial / insurance organization
- Hybrid work model with a Tokyo-based team
- Opportunity to work closely with Japanese and global stakeholders
- Exposure to cutting-edge analytics, ML, and Generative AI use cases
- Relocation support available for international candidates
- Competitive compensation and comprehensive benefits
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