Primary record

Working Student AI & Management Consulting (Nordics)

Celonis Indexed employerCopenhagen, Denmark
Source-hosted applyChecked 1h agoVolunteer
Apply at Celonis

Celonis receives this application through Greenhouse. Babu Careers does not claim delivery.

Workplace

hybrid

Employment

Volunteer

Published

Aug 11, 2026

Closes

No date supplied

The role

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

The Team

As a Working Student in AI & 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. VEs don't just understand code; they understand the entire architecture of a deal. By bridging the gap between deep technical capability, customer pain points, and revenue mechanics, it stands out as one of the most high-impact roles in tech

The Role

As a VE Working Student, you will sit at the intersection of data engineering, process intelligence, and business strategy. You won't just support the team; you will actively build data-driven solutions within the Celonis Process Intelligence Platform to uncover hidden inefficiencies for companies across the Nordics market. This is a highly analytical role where you will translate complex business challenges into technical requirements, using SQL/PQL, data modeling, and AI capabilities to transform raw data into million-dollar business cases

The wo

Requirements

Department: Value Engineering