Process Mining Data Scientist

Join our growing digital transformation and process excellence community as a

Process Mining Data Scientist .

In this role, you will help shape how the organization understands, analyzes, and improves its business processes by turning complex data into meaningful insights.

We offer a collaborative environment, opportunities for professional development, and the chance to work with modern technologies that drive real business impact.

About the role

As a Process Mining Data Scientist, you will enable data‑driven process improvement across the organization.

Working with process owners and stakeholders, you will uncover how processes truly run, identify inefficiencies, and turn insights into clear, actionable recommendations.

You will build and maintain data models, dashboards, and end‑to‑end process mining solutions, while preparing data, defining KPIs, and applying advanced analytics and machine learning to support decision‑making.

Strong communication and consulting skills are essential, as you will train users, provide support, and promote the adoption of process mining methodologies across business teams.

This role offers international exposure, impactful work, and continuous learning in emerging technologies.

If you enjoy solving complex problems and working with data, we would be glad to hear from you.

Key responsibilities

• Collaborate with process owners to build data‑driven solutions that deliver added value and streamline processes.
• Build and maintain data models, dashboards, analyses, reports, and ETL processes for internal business customers.
• Collect business requirements, consult on data preparation and representation, and support interpretation and root cause analysis of results.
• Identify relevant process KPIs and support process improvement projects.
• Ensure data governance, including user access and permission concepts, data integrity, and system operation (support, troubleshooting).
• Apply data analysis, advanced statistics, and machine learning techniques to extract valuable business insights.
• Provide end‑user support, training, and ongoing system administration.
• Actively contribute to team discussions and foster positive relationships with business functions.
• Build and manage positive relationships with business functions to support a wider understanding and implementation of process mining techniques and its benefits.
• Your Qualifications
• Education: Master’s degree (or equivalent) in computer science, mathematics, industrial engineering, statistics, economics, or a related technical or economic discipline.
• Process Mining Tools: At least 2 years of professional experience with Process Mining tools such as Celonis, Signavio, Ui Path, or MS Power Automate required.
• Analytical Tools: Demonstrated experience in data analysis, reporting, and business intelligence, including hands‑on use of BI platforms.
• Programming and Data Integration: Proficiency in SQL and Python, plus practical experience with data integrations and API calls is beneficial.
• Knowledge of Enterprise Resource Planning (ERP) processes, especially SAP S4.

About you

• Strong analytical thinking and process understanding.
• Keen interest in working with numbers, tables, and data.
• Consulting skills to partner with customers on adopting tech solutions that enhance processes.
• Ability to think outside‑the‑box and overcome challenges.
• Professional service and customer orientation, paired with a hands‑on mentality.
• Sense for graphical data presentation and reporting.
• Solution‑oriented, self‑contained way of working; team player.
• Fluent business English (German skills are beneficial).
• Excellent communication skills.
• Willingness to learn and curiosity about emerging technologies.
• Ability to design and deliver trainings to enable better process understanding.

What we offer

• The opportunity to work on challenging and interesting projects with top experts.
• Continuous personal and professional development.
• Flexible working hours with the option of hybrid work.
• A supportive and enabling team culture oriented towards individual prosperity.
• A competitive salary with a wide range of benefits (such as hot meal allowance, transportation costs, a subvention of a Multisport card, additional health insurance).

ANDRITZ Digital Factory provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran by applicable state laws.

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