Senior Data Scientist (Procurement Analytics)

Technologies we use

About the project

Your responsibilities

• Design, build and deploy statistical and machine-learning models, including spend forecasting, supplier risk scoring, price and savings analytics and anomaly detection and 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 the root-cause resolution of systemic data issues together with IT and data owners.
• Lead business requirements definition for Procurement Dashboard streams and analytics initiatives, prioritizing the backlog according to business value; ensure that 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, while defining best practices and code and model review standards; manage team workload, priorities and delivery quality and contribute to the 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, while driving continuous improvement and digital and AI initiatives across Group Procurement.

Our 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.
• Familiarity with cloud data platforms and AI or GenAI use cases would be an advantage.
• 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.

What we offer

• Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
• Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies.
• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.

Benefits