About this role
Digital media is a fast‑changing, data‑driven landscape in which AI plays an increasingly important role in how we reach new and existing customers. As an AI & Digital Media Analytics intern, you work at the intersection of data, media, and AI. You are energized by analyzing data, working with new technologies, and improving our digital media efforts.
You collaborate closely with the AI and media team within the consumer market and support the improvement and optimization of our media strategy and channels. This is a broad, hands‑on internship in which you contribute to data analyses, help drive AI‑powered optimizations (such as search), learn how to program, and actively think along about new solutions that have a direct impact in practice.
What will you be doing?
Contributing to and improving an AI‑driven search optimization tool.Collecting, cleaning, and analyzing datasets for media and AI applications.Analyzing data from media channels (such as social media) to identify performance insights and optimization opportunities.Building and improving dashboards and analyses related to media performance.Thinking along about new AI and data solutions to make media usage smarter.Experimenting with new techniques, models, or approaches and sharing the results.Collaborating with data scientists, media specialists, and other stakeholders within the team. What are we looking for?
You are enrolled in a HBO or WO program in Data Analytics or Data Science, AI, Digital Marketing, Business IT, or a related field.You have an interest in data analysis, digital media, and AI technology and are eager to gain hands‑on experience in these areas.You have some basic knowledge of data or analytics.You enjoy learning (more) about programming and working with data; experience with Python and/or SQL is a plus, but not required.You are analytical, curious, and not afraid to ask questions.You like to think along about improvements and new solutions. This is what you will receive from KPN:
A monthly internship allowance of €600 based on full-time participationOpportunities to engage in activities and collaborate with fellow interns and colleaguesThe potential for employment at KPN upon successful completion of the internshipA hybrid working environment: 2 days in the office, 3 days remoteA laptop for both internship and academic useTravel reimbursement for train or car if you do not have a student public transport cardCollaboration within a multidisciplinary team of experienced professionalsAccess to an extensive network of experts at KPN who are eager to share their knowledge and connectionsWe have a strong belief in the power of technology made even more impactful through human interaction. We look forward to meeting you!
For more information, please contact our recruiter Julie Kleijzen at +31 6 33 04 99 52 or via [email protected]. Please note that applications submitted via email will not be processed. Kindly express your interest through the application button.
At KPN, we believe in smart collaboration and collective success. Therefore, acquisition in response to this vacancy is not appreciated.