Job Description
Wir prüfen und beraten unsere Mandanten mit rund 2.000 Kolleginnen und Kollegen an 10 bundesweiten Standorten und als Teil des Netzwerks Grant Thornton International mit 76.000 Mitarbeiterinnen und Mitarbeitern in 156 Ländern. Schwerpunkte unserer Arbeit sind Audit & Assurance, Tax, Advisory und Legal.
Deine Stärken. Unsere gemeinsame Wirkung.
We call our work ‘demonstrating impact'. In Audit & Assurance, Grant Thornton is in the top 10 audit firms in Germany. We are one of the most successful firms to go to for mid-market companies, Start-ups and the DAX. Our team doesn't take a routine approach. It combines expert knowledge, up-to-date insights and a passion for the job to create new ways of thinking – as well as outstanding solutions for our clients.
We're growing. To complement our team we are looking for a working student or intern for data analytics in the field of Audit & Assurance to join our team as soon as possible. In this business unit, we offer a broad range of services which includes a portfolio of data science methodologies and data engineering technologies. Our business focuses on holistic and tailor-made solutions for our clients - and not abstract analyses. We cover a wide range of topics when it comes to data engineering, descriptive data analytics such as BI and process mining and advanced machine learning.
As a working student / intern in data analytics for Audit & Assurance you will work with a great team of Data Experts who are motivated to improve the quality and accuracy of information and enabling businesses to make more specific business decisions. You will work with leading partners across the organization and our clients in order to support business decisions across multiple industries and build tools to achieve the same. You will support the team in the following fields, depending on your interest:
Software Engineering and Data Science
- Collaborate in the development of our proprietary data processing framework with a strong emphasis on testing and validation.
- Design and implement Python web applications to support our data analytics services and AI chatbot functionalities.
- Extract valuable insights from client data in various consulting projects.
Data engineering research
- Help the team design and develop our Data Lake / Data Warehouse and our cloud infrastructure.
- Furthermore, you get the opportunity to learn about technical topics like:
MS Azure Services
- Machine learning
- Technical writing
and, if you are interested in non-technical topics:
- Project management
- Financial audit
- You are in your Bachelor or Master studies in Computer Science, Mathematics, Business, -informatics or a comparable field
- You have experience developing and testing python applications
- Interest in modern data science methods to improve the audit
- You have a basic understanding of concepts like business intelligence, data mining, data science or process mining
- Basic understanding of the financial audit is advantageous
- You communicate effectively and independently, work independently and purposefully to deliver high-quality results on time and possess good communication skills both in English and in German
- First experience in an audit firm as intern or working student is a plus
You will be working with a team of highly skilled and supportive data experts who work with an agile approach in their everyday tasks. Team language is English. This position is a “work from anywhere in Germany” position which, on the other hand, requires a high degree of self-organization and excellent communication skills.
Our motivation as your employer is to help realize your goals. We take your success personally. That's why we're committed: we offer you responsibility and life-long growth as part of a strong team that's shaping the future. Profit from an international network that appreciates you, and from opportunities to personally shape your career so that you can improve your expertise and have the freedom you need for whatever stage of life you're in. We are already practicing flexible working time models, flexible office and even workation as well as a positive feedback culture and an environment of mutual appreciation. We're constantly developing and learning about agile working, New Work and having a digital mindset. The company will subsidize your public transport ticket, and you'll enjoy exclusive benefits thanks to our cooperation partners. Do you have any ideas about how we could become even better? We would be glad to hear them!
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