- Type
- Full time
- Openings
- 1 position
- Deadline
- Closes in 24 days
About the role
Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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.
Additional Information
Benefits and Perks:
Hybrid work arrangement: You will divide your time between working remotely and working from the office. You will work from the office at least two days per week. You and your manager will agree on your office days, taking business and client needs into consideration.
Inclusive paid leave
People-first and inclusive workplace
Career growth opportunities
Exposure to diverse, global teams
#LI-Hybrid
Additional information
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
Skills
Benefits
- Inclusive paid leave
- People-first and inclusive workplace
- Career growth opportunities
- Exposure to diverse, global teams
Apply on the company website
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Digital Procurement Data Scientist
