Responsibilities of the Candidate:

Support the implementation of Celonis Platform as a business-critical tool by connecting customer data to actionable strategic outcomes.
As part of a project team, participate in process mining discovery activities, data transformation (SQL/Python), and the creation of AI-driven analyses to identify execution gaps.
Leverage your technical background to build and deploy "AI-forward" solutions, utilizing Machine Learning and LLM integrations for our most strategic customers.
Actively participate in discovery and requirement workshops, practicing a consulting mindset to communicate technical findings to business stakeholders and continue building the solution with a strong customer centric mindset.
Contribute to project speed and efficiency by maintaining high-quality documentation and ensuring "Built-in Quality Control" in every line of code or analysis produced.
Have the opportunity to collaborate with various teams within the Celonis organization, including but not limited to:
Business Analytics, Academy and Global Programs
Business Apps & Product and Engineering
Solution Architecture & Celonis Support

Requirements:

A recent graduate (or final year student) with a degree in Computer Science, Data Science, Engineering, Business Information Systems, or a related technical field.
Proven experience building technical solutions during your studies or internships. You should be comfortable with Python, SQL, and have a foundational understanding of Machine Learning and AI architectures.
A strong interest in how technology creates financial value. You are driven by outcomes like ROI, efficiency, and process improvement.
You are curious, solution-driven, and outspoken. You possess the confidence to manage stakeholders and the skills required to navigate complex corporate environments.
The ability to not only focus on "What is the data saying?" and also to recommend "What should the business do, based on the findings?"
Excellent communication skills in English, with the ability to translate technical concepts into business impact.
You are available to start working full time from February 1st, 2027 onwards, with the rest of our global cohort.