Marketing Data & Personalisation Intern, Springer Nature Opening Doors Programme

<p><b>Marketing Data &amp; Personalisation Intern, Springer Nature Opening Doors Programme</b></p><p></p><p>Are you looking for an internship that provides hands-on experience in marketing data, analytics and technology within research publishing, and the chance to make connections at one of the largest publishers of education and research content?</p><p></p><p>The Springer Nature Opening Doors internship in Marketing Data &amp; Personalisation is a paid opportunity in Berlin, Germany, for students and recent graduates to gain experience in research, education and science publishing through data-driven marketing and customer engagement initiatives.</p><p></p><p>Many perspectives and lived experiences remain underrepresented in the publishing industry. This underrepresentation has historically affected a wide range of groups, including Black people, Indigenous people, and people of colour, first-generation university students, people from socio-economically disadvantaged backgrounds, LGBTQ&#43; communities, people from underrepresented social castes, religious minorities and people with disabilities or neurodivergent conditions.</p><p></p><p>We are looking for talented candidates from all backgrounds, with excellent skills in a range of fields, and we are committed to creating an inclusive internship, with a cohort that reflects a broad range of voices and experiences.</p><p></p><p>The successful applicant will spend up to six months within Marketing Data, Analytics, and Technology, part of the <span>Research Marketing division </span>of Springer Nature. If selected for this internship, you will be embedded in a team working at the intersection of marketing, data and technology, gaining hands-on experience with real-world customer data, tools and processes that directly support global marketing initiatives.</p><p></p><p><b>You will:</b></p><ul><li>Translate business needs for a more personalised customer experience into data-driven approaches</li><li>Collaborate with data engineering and analytics teams to understand data sources, schemas, and customer data flows</li><li>Support the building and maintenance of customer segments within marketing tools, ensuring accurate audience definitions for activation</li><li>Analyse customer behaviour, engagement patterns and trends to inform segmentation and personalisation strategies</li><li>Prepare, validate and optimise audience extracts using customer attributes and behavioural signals</li><li>Contribute ideas to improve segmentation models, customer scoring logic and overall data-driven marketing effectiveness</li></ul><p></p><p><b>What’s in it for you?</b></p><ul><li>Developing skills in SQL or Python for data querying and validation</li><li>Gaining practical experience in marketing segmentation, personalisation strategies and customer lifecycle marketing</li><li>Exposure to BI and visualisation tools such as Looker, Tableau or Power BI</li><li>Understanding data privacy principles, including GDPR and consent management</li><li>A paid internship based in Berlin (in line with local market conditions)</li><li>Hands-on experience at one of the largest academic publishing groups and the opportunity to learn from experienced marketing and data professionals</li><li>Support from a buddy from one of Springer Nature’s employee networks</li><li>Access to career development, training and events, including an overview of different business areas at Springer Nature and advice on the job application process</li><li>The opportunity to work on projects related to inclusion and sustainability in the publishing industry</li></ul><p></p><p><b>About us</b></p><p>Marketing Data, Analytics, and Technology is part of Springer Nature’s <span> Research Marketing</span> division. The team works at the forefront of data-driven marketing, enabling more personalised and effective engagement with researchers, authors and institutional partners worldwide. By combining marketing expertise with analytics and technology, the team supports strategic decision-making and enhances customer experiences across Springer Nature’s global portfolio.</p><p></p><p><b>About you</b></p><ul><li>Currently enrolled in an undergraduate or graduate programme (e.g. Data Science, Business Analytics, Marketing, Computer Science or related field), or a recent graduate</li><li>Available to start in June 2026 for an internship of up to six months</li><li>Strong interest in marketing data, analytics and research publishing</li><li>Basic SQL or Python skills for querying and exploring customer data</li><li>Analytical mindset with the ability to interpret data and translate insights into action</li><li>Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders</li><li>Basic project management and documentation skills</li></ul><p></p><p><b>Desirable:</b></p><ul><li>Basic understanding of segmentation strategies, customer lifecycle marketing or CRM systems</li><li>Experience using BI/visualisation tools (Looker, Tableau, Power BI)</li><li>Awareness of data privacy principles (GDPR, consent management)</li></ul><p></p><p><b>How to apply</b></p><p></p><p><b>Application deadline:</b> 18th of  March 2026</p><p>Please send a CV and a short supporting statement in a cover letter (no more than 500 words) explaining what you will bring to this role.</p><p></p><p>The internship will start in June 2026 for a duration of up to six months and is based in Berlin on a hybrid working model.</p><p></p><p>If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us at EMEACareers&#64;springernature.com so we can make all necessary accommodations.</p><p></p><p>If you&#39;re looking to kick-start your career in marketing data and research publishing, apply today and you could be part of the next generation shaping our industry.</p><p></p><p>There are additional intern positions available across Springer Nature as part of this internship programme - find out more about other available opportunities.</p><p></p><p></p><p>#LI-MM1</p><p>Job Posting End Date:</p>18-03-2026