Working Student - Data Scientist and Process Mining Architect
Working Student - Data Scientist and Process Mining Architect
Posted on :
12-04-2025
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1 Vacancy
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Job Description
Your mission
As a Working Student Data Scientist and Process Mining Architect you will support our Data Science team in driving projects that focus on bringing transparency and addedvalue to our customers digital business processes. You will help to find meaningful and innovative solutions to improve the most critical metrics that keep our customers ahead of the competition.
With your analytical skills you will help perform data transformation develop analyses and derive business cases. Ideally you have already gained some experience in finance sales procurement or other key business sectors and have a feeling of our customers needs.
Besides improving your technical skills you will learn how combining deep process and industry knowledge will help to develop new process mining use cases. Additionally you will support Processands international expansion and the development of our team by working on new strategic concepts.
With your analytical skills you will help perform data transformation develop analyses and derive business cases. Ideally you have already gained some experience in finance sales procurement or other key business sectors and have a feeling of our customers needs.
Besides improving your technical skills you will learn how combining deep process and industry knowledge will help to develop new process mining use cases. Additionally you will support Processands international expansion and the development of our team by working on new strategic concepts.
Your profile
- You are a registered student in Computer Science / Informationoriented Business Administration Data Analytics Data Science Physics Mathematics or a comparable degree program
- Enjoy communication with teams and the solution of their problems motivates you
- You distinguish yourself through your structured way of working with which you understand complex processes and can explain them in a simple way
- You are king of presentation and communication and know exactly how to interact with our business partners
- Have practical experience in a coding language like SQL and/or Python
- IT affinity and a feel for sophisticated processes
- Have very high standards towards your own work and communicate issues early on
- Visionary approach with a sense of commitment to making a difference
- Passion for working creatively and independently and solving complex issues
- Fluent in German and have good communication skills in English
Why us
We are a young upbeat and rapidly growing data analytics company based in Munich (Germany) with offices in Taiwan the US and the Czech Republic. We can offer you an extremely exciting work environment and an opportunity to gain insights into some of the largest companies in the world with whom we work very closely.
Benefits:
Benefits:
- An exciting position within a dynamic international setting
- A passionate and upbeat work atmosphere with an innovative startup spirit and high degree of personal responsibility
- Flexible working hours and the ability to work from home
- A weekly fresh fruit basket free drinks coffee and tea
- Worklife balance flexibility
- An incredibly steep learning curve and very flat hierarchies
- A motivated passionate and ambitious team
About us
Processand is a global consulting and software implementation company that drives the successful transformation and digital realignment of ITsupported business process. We support SMEs and large international corporations in converting their IT and ERP data into actionable insights. As one of the leading partners of Celonis SE our focus is on the implementation of the innovative and marketleading process mining technology the data analysis based on it and the strategic support of our customers. With the help of process mining technology and our extensive process management knowhow we create concrete added value for our customers in the age of increasing IT complexity.
Employment Type
Part-Time
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