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Anforderungen

Degree in Computer Science, Business Informatics, Mathematics, Physics, Data Science, or a comparable field Strong analytical mindset and structured approach to solving complex problems Hands-on experience with Python and SQL Ideally first experience with process consulting or process mining tools (Celonis, Signavio, UiPath, etc.) Excellent communication skills and ability to translate technical findings into business value Fluent in German and English (C1 level) Entrepreneurial, curious, and agile mindset

Das wird geboten

Why you’ll love working with us: Flexible working hours & hybrid work options — work from home or our office in Munich or Prague High work-life integration — we support families and personal goals Start-up spirit — short decision paths, high autonomy, and direct impact Professional development budget (€1,500/year) and regular coaching sessions Regular feedback & growth talks — with clear, personalized development paths Team culture that thrives on fun, learning, and connection — from hackathons to mountain trips At Processand, you’re not just joining a consulting company — you’re joining a team that’s shaping how businesses use their data to make better, faster decisions.

Zur Position

Don’t wait for change – drive it. Are you passionate about understanding and improving how businesses really work — from order to cash, procurement to pay, or supply chain to logistics? Do you want to turn complex data into insights that help global companies transform their processes?

And are you looking for a workplace where curiosity, collaboration, and “good vibes only” are more than just words? Then join Processand, one of the leading implementation partners for Celonis – Process Intelligence. Tasks Your mission As a Data Scientist, you will transform business process data into actionable insights that shape our clients’ digital transformation journeys.

You’ll take ownership of data-driven process improvement projects — from analysis to implementation — using cutting-edge process mining tools. You will: Analyze and optimize core and support processes to uncover inefficiencies, bottlenecks, and automation potential Gather, cleanse, and prepare event log data from multiple source systems to ensure excellent data quality Build compelling data visualizations and meaningful dashboards using Celonis, Process Intelligence, and related analytics tools Collaborate closely with clients to design, implement, and roll out process improvements (e.g. in supply chain, logistics, finance) Conduct workshops and training sessions to communicate insights and share best practices Gain cross-industry exposure — from manufacturing to tech, retail, and beyond