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RD Transformation Office: Data Scientist

Horaires Temps plein
Marque BNP Paribas Cardif
Niveau d'expérience 3 à 5 ans
Niveau d'études Niveau BAC+2/3
Postuler REF: MAR000590

Key Responsibilities:
The insurance industry is undergoing a dramatic change and data and analytics are at the heart of this transformation. BNP Paribas Cardif aims to be in the vanguard of this movement by using data science to drive revenue, automate operational processes, improve risk management and deliver outstanding customer/partner experiences.


As part of the data science team, you will leverage internal and external data to develop analytic models and insights in order to support stakeholders throughout our partner ecosystem. Specifically, you will:

• Develop predictive models for functions across our life and non-life businesses and work with business partners to operationalize those models and insights for measurable business outcomes.
• Collaborate closely with the actuarial and finance functions to leverage innovative approaches for pricing and risk management
• Leverage business intelligence and visualization tools to identify actionable insights for the sales and distribution teams
• Work closely with IT & operations to develop customer data management and automated data pipelines in support of the above


• 生命保険または損保保険において予測モデルを開発し、そこで得られるインサイトを活用して、ビジネスの結果につなげる。
• アクチュアリーとファイナンスの部門と協力し、さらなるプライシングやリスクのマネージメントの強化を行う。
• BIと可視化ツールを駆使して、マーケティング業務に貢献する。
• ITとオペレーション部門と協力して、データパイプラインやデータ管理を行う。

At BNP Paribas Cardif Japan (Shibuya, Tokyo), you will work with the Analytics Manager and other Transformation team members from around the world to accomplish these responsibilities, where will also have the following responsibilities:

• Identify new data sources and data sets that can be used for statistical modeling
• Working with IT to identify ETL and data pipeline automation requirements, documenting models and their impact
• Working with the data governance/data quality teams to identify Master Data requirements for customer, product and partner domains
• Collaborate with peers in the Asia regional office and Paris HQ and Cardif entities around the world in identifying new data sets, algorithms, software/tools, etc.
• Assist the Analytics Manager in developing a data-driven culture and in acting as an Analytics Evangelist for the Cardif Japan organization.


• 新しいデータソースを発見し、確率的な予測モデルの作成またはその関連インフラの開発を行う。
• IT部署とともにETLプロセスの拡充を行い、データパイプラインを自動化し、関連のドキュメンテーションを行う。
• データ管理チームと一緒にデータ定義やデータ管理を行う。
• 他のリージョンと一緒に、新しいデータの活用の仕方、アルゴリズムの開発、ソフトウェアの導入を行う。
• データアナリティクスチームで得られた結果に基づき、データ主導の文化を築き、その推進を社内にて行う。

Competencies (Technical / Behavioral):

Basic Qualifications
• At least 3+ years’ demonstrated experience in building and deploying predictive/prescriptive models using standard data science platforms
• Deep knowledge of SQL, Python and R programming;
• Experience in Data Visualization / Business Intelligence tools; experience in Tableau BI/Data Prep development tools a plus
• Fluent spoken/written Japanese; English communication skills (verbal and written) desired
• Willing and eager to learn about the insurance industry; prior experience in insurance a plus

Behavioral skills
• Teamwork and the ability to collaborate with a diverse stakeholders, including the ability to respect differing points of view and seek common ground with them
• Strong communications and presentation skills
• Entrepreneurial spirit, motivated to solve complex issues
• Capability to translate data science insights and outputs into business language, outcomes and ROI

Preferred Qualifications
• Degree in statistics, mathematics, ops research, engineering or similar field; a graduate degree is a plus
• Demonstrated abilities in collaborating with IT teams in designing/deploying data management infrastructure for analytics (e.g. DWH, HDFS Data Lakes, ETL, automated data pipelines, etc.)

• 最低3以上の統計学または機械学習モデルの作成経験
• SQL、python、R等の習熟が必要
• BIツールや可視化ツールを使用した経験(Tableau,Tableau Prep,QlikView等)
• 日本語での読み書き能力とプレゼンテーション能力、英語での読み書き能力とプレゼンテーション能力
• 保険業界に対して興味があり、同業界または金融業界の勤務経験があればプラス

• チームワークに長けており、多様性のある環境下で協力して作業を行い、他者を尊重できる能力
• 高いコミュニケーションとプレゼンテーション能力
• 起業家精神があり、複雑な事象を解決する気概
• データから導かれる結論を相手の理解度に合わせ、内容を転換できる力

• 統計学、数学、オペレーションズリサーチ、エンジニアリング等の理系的高等教育を受けていること
• データエンジニアリング等のインフラサイドの知識と経験、例えば、REST APIの構築、DWH、HDFS、ETL、データパイプライン等

Primary Location: JP-13-ShibuyaJob Type: Standard / PermanentJob: MARKETINGEducation Level: Bachelor Degree or equivalent (>= 3 years)Experience Level: At least 5 yearsSchedule: Full-time Reference: MAR000590