DATA 部門 - Data Scientist-Pharma Analytics

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

Duties and Responsibilities:

Serve as a subject matter expert (SME) on Japan’s pharmaceutical and healthcare data landscape, supporting clients in navigating complex data ecosystems for commercial and sales reporting.

Engage directly with life sciences clients, both domestic and multinational, to understand business needs and translate them into actionable data science solutions.

Analyze and interpret data from sources such as IQVIA, Veeva, Snowflake and local vendors (e.g.,JDNet, JMDC, Medical Data Vision, Nihon Ultmarc), ensuring insights are aligned with Japan’s unique hierarchical data models.

Collaborate with offshore delivery teams to ensure seamless execution of analytics projects, acting as a bilingual bridge between client stakeholders and technical teams.

Contribute to the development of analytics strategies, data pipelines, and machine learning models tailored to commercial effectiveness, patient journey analysis, and real-world evidence (RWE).

Mentor junior team members and contribute to internal capability building within the Insights & Data team.

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.