Data Science Engineer (with knowledge of AI & Cloud)

One of the world's leading insurance providers, is looking for experienced Data Science Engineer, with knowledge of AI and Azure Cloud, to support its expanding Data Science, Cloud, and Artificial Intelligence initiatives in 2027.

Responsibilities:
- Design, develop, and optimize Machine Learning and AI models for predictive analytics, automation, and business intelligence
- Develop scalable data pipelines and integrate large datasets to support Data Science, Machine Learning, and AI applications
- Build and deploy Data Science and AI solutions using cloud platforms, preferably Microsoft Azure
- Develop and integrate Generative AI solutions using Large Language Models (LLMs), APIs, and modern AI frameworks
- Implement MLOps practices for model deployment, monitoring, performance optimization, and lifecycle management
- Work with cloud-based data platforms, databases, and distributed processing technologies to manage and analyze large datasets
- Collaborate with Data Scientists, Data Engineers, Cloud Architects, and business teams to translate business requirements into technical solutions
- Ensure AI solutions meet enterprise standards for security, reliability, scalability, and data governance

Required Skills:
- 5+ years of experience in Data Science projects, Machine Learning, AI Engineering, or related software/data engineering roles, with strong hands-on technical experience
- Python and SQL: Strong programming experience, including Pandas, NumPy, Scikit-learn, and data processing techniques
- Data Science & Machine Learning: Experience developing, training, evaluating, and optimizing ML models using frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Cloud Technologies: Hands-on experience with Azure, AWS, or GCP, preferably Microsoft Azure, including cloud-based data processing and AI services
- Generative AI & LLMs: Experience with Generative AI, LLM integration, prompt engineering, and AI application development using technologies such as Azure OpenAI or equivalent services
- Data Engineering: Experience with ETL/ELT pipelines, Spark, Databricks, or cloud-based data platforms
- MLOps & Deployment: Understanding of model deployment, CI/CD, Docker, Kubernetes, model monitoring, and production AI environments

Why should you apply:
- Opportunity to work on enterprise-scale Data Science, Cloud, and AI transformation projects
- Exposure to modern Generative AI, Machine Learning, and cloud-based data platforms
- Collaboration with international engineering, architecture, and business teams
- Long-term career development in one of the world's leading insurance organizations
- Multicultural working environment with opportunities to strengthen both Japanese and English communication skills


Company Details:
A US based world’s leading insurance providers, offering a broad range of life, health, and retirement solutions to individuals, families, and businesses. The company is heavily invested in digital transformation, utilizing advanced technologies like cloud computing, data analytics, AI, and cybersecurity to enhance customer experience and streamline operations. As part of its values, it has a strong focus on creating a diverse environment, and in particular on the appointment of women in high-level position.

Working Hours: 9:00 - 18:00 (Mon-Fri)
Working Style: 3 days’ work in office, and 2 days’ work from home
Holidays: Saturday, Sunday, National Holidays, Year-end and New Year Holidays, Paid Holidays
Services/Benefits: Transportation expenses up to 20,000 yen per month, plus Paid leave, plus social insurance (health insurance, welfare pension, and work-related accident insurance), Periodic health examination, and Employment insurance