Description and Requirements

Role
The Senior Data Scientist will drive innovative approaches to understanding, interacting, and optimizing customer engagement by leveraging advanced analytics to derive actionable business insights. The successful candidate will work closely with business stakeholders to understand their requirements and the broader business context. This role entails leading data analytics initiatives from conception through implementation to delivery.

Responsibilities - Work with business teams to understand goals, define success measures, and turn needs into clear analytics tasks.
- Lead data science projects end-to-end: define the problem, analyze data, build models, test results, and deliver.
- Build and improve machine learning and analytics solutions that support business goals.
- Manage a team of data scientists and vendor resources, provide coaching, feedback.
- Review code and help the team write clean, reliable Python.
- Work with the data platform and IT teams to plan delivery, manage dependencies, and remove blockers.
- Deliver solutions on Azure (or similar cloud) with support from engineering teams.
- Create clear documentation and simple updates for stakeholders and leaders.
- Use AI responsibly and follow company policies and compliance requirements.

Must Have - Business-level Japanese and business communication English.
- 5+ years of experience in data science / advanced analytics with delivered business results.
- Experience leading data science projects end-to-end (from idea to delivery).
- Strong Python programming skills and strong code review skills.
- GenAI / LLM experience.
- Azure or similar cloud experience (building and/or deploying solutions).
- People Management experience (leading a team, coaching, supporting performance).
- Willing to learn, take on new challenges, and adapt to change.
- Strong teamwork and collaboration skills.

Education Bachelor's degree in computer science, information technology or equivalent educational qualification

Good To Have - Financial services experience (insurance experience is a plus).
- MLOps experience (CI/CD, deployment, monitoring, model lifecycle).
- Power BI experience.
- PySpark experience.

福利厚生

メットライフ生命では、ワークライフバランスと社員の心身の健康を促進する福利厚生を提供しています。社員はフレックスタイム制度、年次有給休暇、特別連続休暇、リフレッシュ休暇等の休暇を利用できます。また、社会保険や団体保険の他、旅行や英会話教室で使える割引も提供しています。柔軟に働けるよう、オフィス勤務と在宅勤務を組み合わせた勤務形態の導入や、短時間勤務制度、また柔軟性のあるドレスコードなども設けています。

Benefits We Offer

MetLife Japan offers a comprehensive benefits package that promotes work-life balance and employee wellbeing. Employees can take advantage of flex time policy and a generous time-off policy, national holidays, annual paid leave, special consecutive leave, and refreshment leave. We also provide full social insurance coverage, a commuting expense reimbursement, group insurance, and discounts on travel and English language lessons. To support work flexibility, employees also have hybrid work options, shortened working hours for parents with children in third grade or below, and a casual dress code.

メットライフについて

メットライフは、グローバルで展開する金融サービス企業です。個人および法人のお客さまがより確かな未来を築けるよう、保険、年金、社員福利厚生給付、資産管理のサポートを提供しています。1868年に創業したメットライフは、世界40以上の市場で事業を展開し、米国、アジア、中南米、ヨーロッパ、中東において業界をリードしています。

メットライフは、New Frontier戦略の一環として、AIを活用し、人を中心に据えた未来を築いています。私たちは、AIを活用して顧客へのサービス向上、地域社会への支援、そして働き方の変革を推進していく中で、好奇心、適応力、そして成長意欲を持つ人材を求めています。メットライフにおいて、AIは、人間の判断力、創造性、継続的な改善を支える責任あるパートナーであり、信頼、インクルージョン、そして長期的な価値の構築に貢献しています。

メットライフ生命は、日本初の外資系生命保険会社として、1973年2月に国内での営業を開始しました。当社のPurpose「ともに歩んでゆく。よりたしかな未来に向けて。」は、メットライフが誇るグローバルネットワークと世界中のベストプラクティスを活かし、お客さまのニーズに応え、地域社会との信頼関係を築くという信念を表しています。

About MetLife

MetLife Inc., through its subsidiaries and affiliates (MetLife), is one of the world's leading financial services companies, providing insurance, annuities, employee benefits and asset management to help individual and institutional customers build a more confident future. Founded in 1868, MetLife has operations in more than 40 markets globally and holds leading positions in the United States, Asia, Latin America, Europe and the Middle East.

As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.

MetLife Japan began operations in February 1973 as Japan's first foreign-owned life insurance company. Our purpose, "Always with you, building a more confident future," encapsulates our strong commitment to leveraging our global network and best practices worldwide to stand with our customers and build trust with our communities.

Temporarily remote job Data Engineering Analyst job in Ireland (1)

Sign up to Job Alerts!

Finance Transformation Analyst (AI & Automation) H/F

Boost your career