Your strengths. Our combined impact.


We call our work ‘demonstrating impact’. That means an environment in which you can share your curiosity, knowledge and passion for excellence with others. Because our work demonstrates impact, Grant Thornton is one of the most successful firms for mid-market companies, start-ups and the DAX. With us you can support our clients’ growth regionally, nationally and internationally, and at the same time broaden your view of the environment, society and economy.


We’re growing. To complement our team we are looking for interns (m/f/d) and working students (m/f/x) 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.

Ready to demonstrate impact?


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 at least one of the following fields, depending on your interest:


Project management in Data Analytics:

• Support in managing internal and external data and innovation projects
• Tracking of project progress and reporting to the stakeholders
• Documentation of project progress and content

Dashboarding with MS Power Bi:

• Supporting the development of stunning dashboards for internal and external clients
• Defining and building useful KPIs, visualizations and reports in dashboards
• Managing of workspaces

Data Science for audit:

• Supporting the implementation of data science projects in the context of audit (e.g. process mining)
• Supporting internal and external data science and data engineering projects

Professional strengths that set you apart.

• You are in your Bachelor/ Master studies in Computer Science, Mathematics, Business, -informatics or a comparable field
• 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.

What do we offer? The chance to shape your future. As well as to carve the world of tomorrow.


A diverse training programme, tasks with responsibility that help you grow, and a strong team –welcome to Grant Thornton! We’re already practicing active talent management, 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.

Interested? We are looking forward to your application!


Ideally, you should be able to devote three to six months to your internship with us and 15-20 hours/week to your working student job.


Any questions? Please feel free to contact us.


Grant Thornton AG
Mara-Sophie Kniffel
People & Culture
T +49 211 9524 8717
E karriere@de.gt.com

Cicerostraße 2 10709 Berlin