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Lead Data Specialist

Lead Data Specialist

Fidel Consulting KKTokyo, Tokyo, Japan
1日前
職務内容の詳細

Appealing Points :

  • Lead Cutting-Edge AI Initiatives : Take a hands-on leadership role in designing and implementing enterprise-grade Generative AI applications using LLMs, RAG, and multi-agent systems—driving real business impact through advanced innovation.
  • Strategic Business Influence in a Bilingual Environment : Collaborate directly with Japanese business stakeholders to shape data-driven solutions, combining deep technical expertise with strategic business alignment in a multilingual, cross-functional setting.
  • End-to-End Ownership with Modern Tech Stack : Own the full analytics lifecycle—from PoC to deployment—using a modern toolset including AzureML, MLOps, GitHub Copilot, PySpark, and PowerBI, while working in a cloud-native and CI / CD-driven environment.

Annual salary : 10  Million and above

Job Description :

  • The Lead 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, primarily in Japanese, to understand their requirements and the broader business context. This role entails leading data analytics initiatives from conception through implementation to delivery.

    • Job Responsibilities :

  • Collaborate with business stakeholders to gather requirements, understand business context, and derive data-driven solutions.
  • Lead and oversee data analytics initiatives, including planning, execution, and delivery of high-quality analytical solutions.
  • Research, propose, and develop state-of-the-art AI / ML solutions that address complex business challenges, keeping pace with the rapidly evolving AI landscape.
  • Rapidly prototype and conduct Proofs of Concept (PoCs) to validate innovative approaches and demonstrate their business value before full implementation.
  • Design and implement enterprise-grade Generative AI applications leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and multi-agent frameworks.
  • Work closely with the data platform team and other IT teams, identifying dependencies, and resolving blockers to ensure smooth development processes.
  • Develop, deploy, and manage machine learning models and analytics projects, ensuring alignment with business objectives.
  • Utilize CI / CD, MLOps, Azure or similar cloud platforms, and DevOps to streamline development and deployment processes.
  • Apply hands-on expertise with SQL, Python, Pandas, PySpark, AzureML, and PowerBI to develop and implement data models and analytics.
  • Leverage AI-assisted development tools such as GitHub Copilot to enhance programming efficiency and code quality.
  • Leverage domain expertise in financial or insurance sectors, especially in distribution, operations and marketing, to ensure successful project outcomes
  • Prepare detailed documentation for analytics and ML initiatives, including project deliverables and technical specifications.
  • Communicate effectively with team members and leadership through presentations and reports detailing analytics and machine learning requirements, progress, and outcomes.
  • Work closely with the data platform team and other IT teams, identifying dependencies and resolving blockers to ensure smooth development processes.
  • Ensure the responsible use of AI practices, adhering to ethical guidelines and compliance standards
  • Employ best practices and methodologies from other markets to improve analytics and data solutions.
  • Proactively propose new solutions and enhancements based on emerging technologies and business needs.
  • Evaluate and recommend approaches for fine-tuning and deploying foundation models to solve domain specific problems.

    • Job Qualification :

  • 5+ years of experience in advanced analytics roles, delivering successful business outcomes.
  • Proven leadership experience in managing data science or analytics teams.
  • Minimum 2+ years of hands-on experience implementing Generative AI solutions in enterprise settings.
  • Proficiency in quantitative methods and business analytics with strong problem-solving skills.
  • Expertise in building and applying data models using machine learning techniques such as classification, regression, clustering, time-series analysis, and dimensionality reduction.
  • Competent programming skills with Python and SQL.
  • Strong understanding of data visualization tools, particularly PowerBI.
  • Experience with CI / CD, MLOps, and cloud platforms such as Azure for deploying analytics and ML solutions.
  • Hands-on experience with data analytics tools and libraries such as Pandas, PySpark, and AzureML.
  • Demonstrated expertise in implementing and optimizing Large Language Models (LLMs) and Generative AI applications.
  • Hands-on experience with Retrieval Augmented Generation (RAG) architectures, vector databases, and semantic search systems.
  • Practical knowledge of orchestration frameworks such as Langchain, Langsmith, and Langraph for building multi-agent AI systems.
  • Experience using AI-assisted development tools like GitHub Copilot to enhance coding productivity and quality.
  • Track record of successfully delivering rapid prototypes and PoCs that demonstrate business value of advanced AI techniques.
  • Background in financial or insurance domains, particularly in distribution, operations and marketing.
  • Continuous learning of new tools and technologies to stay ahead of industry trends and enhance analytics capabilities.

    • Education :

  • Bachelor's degree in a quantitative modeling-focused discipline such as Statistics, Marketing Science, Operations Research, Econometrics, Machine Learning, or a related field.
  • An advanced degree in similar disciplines is a plus. Courses or specialization in data & analytics.
  • Azure certifications, especially Azure Data Scientist, Azure Enterprise Data Analyst, Azure Data Engineer.
  • Certifications or specialized training in GenAI, LLMs, or advanced AI frameworks is highly desirable.

    • Language Skills : Fluent level Japanese (JLPT N1) and Business level English

    Company Description

    Our Client has operations in more than 40 countries and holds leading market positions in the United States, Japan, Latin America, Asia, Europe, and the Middle East. We are ranked #43 on the Fortune 500 list for 2018.With over 150 years of experience, the companies offer life, accident and health insurance, retirement, andsavings products through agents, third-party distributors such as banks and brokers, and direct marketing channels. Our name is recognized and trusted by approximately 100 million customers worldwide and we serve more than 90 of the top 100 FORTUNE 500 companies in the United States.

  • Skillset Required : Japanese JLPT N1, English 2, AI Ml, sql, panda, azure
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    Specialist • Tokyo, Tokyo, Japan