Intern Value Engineering AI & Management Consulting (Value Engineering French Market)
CelonisParis, FrancePosted 10 March 2026
Tech Stack
Job Description
We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us?
The Team:
As an Intern Business Analytics Management Consulting you join our Value Engineering team to focus on driving and closing opportunities by identifying and selling the value Celonis can bring to customers. Our Value Engineers (VE) are the trusted advisor for customers and work on the intersection of technology and business. Value Engineers partner with sales and customers to create compelling solutions to critical business problems.
The Role:
Value Engineers are the trusted advisors for our prospects and customers and leverage product expertise and business acumen to solve our prospects’ and customers’ most pressing challenges You will gain experience in executing proof of value projects and take part in technical/business discussions with stakeholders. By creating customer-based business cases, you support the strategic business development activities for the French market.
The work you’ll do:
Analyze data from our customers to increase transparency in business processes
Understand the pain points of our customers and translate them into actionable use cases in the Celonis Process Intelligence Platform
Quantify financial impact of use cases implemented in the Celonis Process Intelligence Platform and prepare management ready presentations
Present findings together with your team in front of customers’ C-level and decision makers
Leverage Celonis data modeling and AI capabilities to uncover process inefficiencies, generate insights, and deliver high impact, data driven value propositions to clients.
Pitch the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy
Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen
The qualifications you need:
Student in the field of Technology Management, Industrial/Business Engineering, Business Informatics, Business Administration, Computer Science, Mathematics, Economics or a comparable degree program.
Strong communication skills and interest in interacting with potential customers
Experience in consulting and highly interested in Data Analytics
Knowledge in SQL or related database query languages
Analytical mindset and the ability to work in a structured manner and quickly comprehend new topics
Availability as soon as possible for 6 months (full-time)
Effective communicator and fluent in English and French
What Celonis Can Offer You:
Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business.
Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.
Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more . Interns and working students explore your benefits here .
Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs.
Connect and Belong: Find community and support through dedicated inclusion and belonging programs.
Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future.
Collaborate Globally: Join a dynamic, international team of talented individuals.
Empowered Environment: Contribute your ideas in an open culture with autonomous teams.
About Us:
Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process m ... (truncated, view full listing at source)
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