Senior Data Scientist (Procurement Analytics)

Quick Facts

• Role: Senior Data Scientist (Procurement Analytics)

Description

Own the data and analytics agenda that supports strategic decisions across Group Procurement. Design, build, and deploy advanced analytics, predictive models, and executive dashboards based on procurement systems (iValua, SAP S/4HANA, Oracle), setting standards for data quality and governance while turning complex procurement data into executive-level decisions.

Responsibilities

• Design, build, and deploy statistical and machine-learning models (spend forecasting, supplier risk scoring, price and savings analytics, anomaly detection) across the full analytics lifecycle.

• Define the KPI framework and deliver a Procurement Dashboard roadmap with decision-ready insights for senior leadership.

• Set and enforce data standards, classifications, quality controls, and governance; drive root-cause resolution of systemic data issues with IT and data owners.

• Lead business requirements for dashboard and analytics initiatives; prioritize the backlog by business value and ensure solutions are documented, scalable, and adopted.

• Lead, coach, and develop a team of data analysts/data scientists; establish best practices and code/model review standards.

• Partner with Category Management, Procurement Excellence, Finance, and IT; influence decisions through data storytelling and drive continuous improvement and digital/AI initiatives.

Requirements

• 8+ years of experience in analytics or data science, including at least 3 years in a lead or management role.

• Advanced proficiency in SQL and Python or R, including statistical modeling and machine learning.

• Expert-level Power BI and advanced Excel 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/data scientists and delivering analytics programs end to end.

• Strong executive communication, data storytelling, and senior stakeholder management.

• 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/GenAI use cases (advantage).

• Bachelor’s or Master’s degree in a quantitative field (or equivalent professional experience).

Benefits

• Yearly financial bonus.

• Private medical care with Medicover (plus additional packages such as dental, senior care, and oncology on preferential terms).

• Life insurance and access to NAIS benefit platform.

• Access to 70+ training tracks and certification opportunities via NEXT platform, plus language learning and training resources (Education First, TED Talks, Udemy Business).

• Hybrid working model with modern office work and ergonomic work-from-home setup (home office package includes laptop, monitor, and chair).

• Cutting-edge technology exposure and training in GenAI, Excel, business analysis, and project management.