Your future team

At Deloitte Luxembourg, our Audit Digital Factory is at the forefront of leveraging cutting-edge technologies and data-driven insights to revolutionize the audit process. We are committed to innovation and excellence, and we are looking for a talented and motivated intern to join our team in January 2026.

We are seeking a Data Analyst or Data Scientist intern who is passionate about data and eager to contribute to our dynamic team. The intern will have the opportunity to work on various projects involving data extraction, visualization, process monitoring, and trend analysis. This role offers a unique chance to gain hands-on experience in a fast-paced environment and make a tangible impact on our data initiatives.

Your next challenge

• Data Extraction Flows: Assist in developing and optimizing data extraction processes to integrate additional data into our systems, ensuring data quality and accuracy.
• Data Visualization: Create and propose new visualizations that enhance the understanding of existing data, enabling stakeholders to make informed decisions.
• Process Monitoring: Develop methodologies to monitor and evaluate existing processes using data, identifying areas for improvement, and ensuring operational efficiency.
• Trend Analysis: Analyse data to identify trends, patterns, and insights that can drive strategic decision-making and innovation within the audit department.
• Related Activities: Engage in other data-related tasks and projects as required, supporting the overall goals and objectives of the Audit Digital Factory.

Your skills

• Currently pursuing or recently completed a degree in Data Science, Data Analytics, Statistics, Computer Science, Business Informatics or a related field.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Proficiency in data analysis tools such as Python, R, SQL, or similar.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Excellent written and verbal communication skills.
• Ability to work collaboratively in a team environment as well as independently.
• A genuine interest in the field of data science and analytics, with a desire to learn and grow.

Join us and...

• Work with other dedicated professionals in a truly diverse and multicultural environment committed to continuous learning
• Be part of a dynamic team to deliver cutting-edge solutions to our clients
• Make everyday a day to remember

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivalled opportunities to succeed and realize your full potential.

One of our firm-wide priorities is to deliver a globally uniform level of quality in our services so that our clients experience a consistent, exceptional Deloitte. To achieve this, global standards have been developed that define the most critical capabilities required by client service professionals across the globe. These help our professionals understand what is expected from them and to focus on their personal development.

With  more than 150 partners and 2,600 employees, Deloitte Luxembourg is one of the Grand Duchy's largest, strongest and oldest professional services firms. For 70 years, our talented teams have been serving clients in various industries delivering high added-value offerings to national and international clients in audit and assurance, consulting, financial advisory, risk advisory, tax, and related services. Deloitte Luxembourg is part of the global Deloitte network.

Join us in enabling a diverse and inclusive environment for all!

Diversity and inclusion bring great value to our profession and community, and build our ability to deliver truly differentiated solutions and experiences to our clients. Deloitte is committed to creating and supporting a culture of inclusion that empowers all of our people to be at their best on both a personal and professional level.