Requirements and Qualifications
Technical skills
At least 5, preferrably 10+ years of experience in data science and analytics, with a strong focus on the pharmaceutical or healthcare sector in Japan. Consulting background preferred.
Deep understanding of Japan-specific health data sources and vendors; familiarity with JDNet,Ultmarc, IQVIA, Veeva, Snowflake and local data providers like JMDC and MDV is highly desirable.
Proficiency in data analysis tools and languages such as Qlik, Python, R, SQL, and experience with cloud platforms (e.g., Azure, AWS, GCP) is a plus.
Problem-solving skills with strong analytical ability to troubleshoot complex issues.
Ability to work well in a team environment and contribute to collective goals.
Must- Native-level fluency in Japanese (native or JLPT N1 or equivalent) and business-level proficiency in English (Nice to have)
Ability to work flexibly across client environments—remote, hybrid, or on-site as required.
Educational Profile
bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, Life Sciences, Public Health, or a related discipline.
Additional certifications in data science, cloud platforms, or pharmaceutical analytics are a plus.
Job Description - Grade Specific
The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high-quality data solutions to support the organization's data-driven objectives.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Ref. code
279376
Posted on
Nov 12, 2026
Experience Level
Experienced Professionals
Contract Type
Permanent
Location
Tokyo, JP
Brand
Capgemini
Professional Community
Data & AI
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