Data Scientist (P2)
Skillhouse ·www.skillhouse.co.jp
Apply directA Global IT Service firm is seeking a Data Scientist. You will play a central role in transforming the Claims function into a truly data-driven organization.
As a Data Scientist within the Data Team, you will play a central role in transforming the Claims function into a truly data-driven organization. You will work at the intersection of business, data, and technology, developing practical AI/ML solutions and helping implement them in real-world business use cases., translating them into data and technical requirements, and driving initiatives from requirement definition through delivery.
Responsibilities:
- Develop and support the implementation of practical AI solutions and code for various business use cases
- Support the development, testing, evaluation, and deployment of machine learning models
- Analyze structured and unstructured data using Python and relevant data science libraries
- Work closely with business stakeholders to understand requirements and translate them into data-driven solutions
- Conduct Exploratory Data Analysis (EDA) and generate actionable insights to support business decision-making
- Support AI governance to ensure AI models are deployed safely, responsibly, and sustainably
- Collaborate cross-functionally with IT, business teams, and project managers, including through high-quality technical and business documentation
- Continuously develop knowledge of emerging AI and Generative AI technologies, methodologies, and industry trends
- Contribute to the development of best practices in data science and AI within the Claims domain
Required Skills:
- 3–7 years of experience in developing machine learning models
- Hands-on experience participating in projects involving AI and/or Generative AI solutions
- Strong Python programming skills with experience using relevant data science and machine learning libraries
- Ability to understand and interpret business requirements and translate them into data-driven solutions
- Professional experience working with cloud platforms such as AWS or Azure
- Knowledge of key Generative AI concepts, including: RAG (Retrieval-Augmented Generation)、LLMs (Large Language Models)、Embeddings、Prompt Engineering, etc.
Why should you apply?
- You will be joining one of the biggest global insurance companies in the world
- You will be working with the international team with the best technologies in insurance domain
- 50% WFH and 50% Work from Office
Company Details:
A leading US global life insurance company with a strong presence in Japan, providing a wide range of protection and investment solutions. The organization is focused on digital transformation and innovation across its Information & Transformation divisions.
Salary: Up to 12,000,000 JPY/Year (9,000,000 JPY base + Bonus +OT)
Working Hours: 9:00 – 17:00 (Mon-Fri)
Working Style: 50% WFH and 50% Work from Office
Holidays: Two days off per week (Saturdays, Sundays, and holidays), Paid vacation, New Year's holiday, special leave, summer vacation
Services/Benefits: Social insurance, Transportation Fee, No smoking indoors allowed (Designated smoking area), etc.
Interview Process: 3~4 times
Frequently asked questions
Who is hiring for the Data Scientist (P2) role?
Skillhouse is hiring for the Data Scientist (P2) position, a Shazamme client. Apply directly on the employer's career site.
Where is the Data Scientist (P2) job located?
The Data Scientist (P2) role with Skillhouse is based in 東京都, JP.
What does the Data Scientist (P2) role pay?
Skillhouse lists the Data Scientist (P2) role at JPY 7,500,000–9,500,000 per year.
Is the Data Scientist (P2) role full-time or contract?
This is a full time position at Skillhouse.
What experience level is the Data Scientist (P2) role?
The Data Scientist (P2) position is aimed at mid-level candidates.
How do I apply for the Data Scientist (P2) role at Skillhouse?
Apply directly on Skillhouse's career page via the Apply button on this listing. ZammeJobs links straight through to the employer's ATS — no third-party form, no resume database.