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Capgemini

Global consulting, technology services, outsourcing

Senior Data Scientist - Procurement Analytics

Data Science +1Updated on Nov 14
Full-time

About the Job

Requirements

  • Expert analytical and problem-solving skills, with the judgment to prioritize business impact.
  • Advanced proficiency in SQL and Python or R, including statistical modeling and machine learning.
  • Expert-level knowledge of Power BI and advanced Excel, with experience designing enterprise-grade dashboards and data models.
  • Deep understanding of procurement data, spend analytics, and procurement or supply chain processes.
  • Proven experience leading analysts or data scientists and delivering analytics programs end to end.
  • Strong executive communication, data storytelling, and senior stakeholder management skills.
  • Experience with data governance, data quality frameworks, and master data management.
  • Knowledge of iValua, SAP S/4HANA, and Oracle R12.
  • 8+ years of experience in analytics or data science, including at least 3 years in a lead or management role.
  • Bachelor’s or Master’s degree in a quantitative field, such as Data Science, Statistics, Mathematics, Engineering, or Economics, or equivalent professional experience.

Responsibilities

  • Own the data and analytics agenda that underpins strategic decisions across Group Procurement.
  • Lead the design and delivery of advanced analytics, predictive models, and executive dashboards built on procurement systems, while setting standards for data quality and governance.
  • Act as a trusted advisor to Procurement leadership, combining technical expertise, leadership, and business acumen to turn complex data into executive-level decisions and shape how Procurement uses data and AI at scale.
  • Design, build, and deploy statistical and machine-learning models, including spend forecasting, supplier risk scoring, price and savings analytics, and anomaly detection; translate complex procurement questions into analytical solutions; and own the end-to-end analytics lifecycle, from hypothesis and development to production and value tracking.
  • Define the KPI framework and Procurement Dashboard roadmap, delivering decision-ready insights and recommendations to senior leadership; support sourcing, supplier management, and category strategies through fact-based analysis.
  • Set and enforce data standards, classifications, and quality controls across procurement platforms; define data ownership and governance processes; and lead root-cause resolution of systemic data issues with IT and data owners.
  • Lead business requirements definition for Procurement Dashboard streams and analytics initiatives, prioritizing the backlog according to business value; ensure analytics and reporting solutions are well documented, scalable, and adopted by the business.
  • Lead, coach, and develop a team of data analysts and/or data scientists; define best practices and code and model review standards; manage team workload, priorities, and delivery quality; and contribute to development of the data and analytics capability strategy.
  • Partner with senior stakeholders across Category Management, Procurement Excellence, Finance, and IT; challenge assumptions and influence decisions through clear data storytelling; and drive continuous improvement and digital and AI initiatives across Group Procurement.

Desired Qualifications

  • Familiarity with cloud data platforms and AI or GenAI use cases.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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