Digital Procurement Data Scientist
Listed on Experian’s official careers site. Posted October 16, 2026. Check that it is still open and apply there.
Apply on Experian’s careers site →Job description
As a Digital Procurement Data Scientist, you will transform complex data into actionable insights, predictive models, and decision-support tools that improve procurement outcomes. You will partner with stakeholders across five regions, including Director-level leaders, to identify opportunities and embed data-driven decision-making into business processes. You will use analytics, visualization, and automation technologies to optimize costs, manage risk, forecast demand, evaluate supplier performance, and improve operational efficiency.
This role also acts as a connection between Procurement, IT, and end users to support data integration, governance, and continuous improvement. This role will report to Procurement Technology & Innovation Lead What You'll Be Doing : Identify opportunities to improve procurement outcomes through data analytics, predictive modelling, and automation. Develop dashboards and reports using Tableau or Power BI to support data-driven decision-making across five regions.
Automate processes, reports, and workflows using Excel, Power Automate, and Power Apps. Translate complex data into clear insights and recommendations for senior stakeholders and non-technical audiences. Collaborate with IT and business teams on data integration, governance, troubleshooting, and user training.
Qualifications
What We Are Looking For
5 years of relevant work experience A degree or equivalent practical experience in data science, computer science, statistics, mathematics, information technology, or a related field. Experience in data analysis, visualization, dashboard development, and process automation. Proficiency in Tableau or Power BI and Excel, with working knowledge of Power Automate, Power Apps, or Oracle OBIEE. Strong problem-solving, communication, and stakeholder-management skills, including the ability to engage senior leaders.
Experience in data governance, data management, or data warehousing; knowledge of Python is an advantage.
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