Marketing Data & Personalisation Intern, Springer Nature Opening Doors Programme

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?

The Springer Nature Opening Doors internship in Marketing Data & 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.

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+ communities, people from underrepresented social castes, religious minorities and people with disabilities or neurodivergent conditions.

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.

The successful applicant will spend up to six months within Marketing Data, Analytics, and Technology, part of the Advanced Analytics & Data Science division 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.

You will:

Translate business needs for a more personalised customer experience into data-driven approaches

Collaborate with data engineering and analytics teams to understand data sources, schemas, and customer data flows

Support the building and maintenance of customer segments within marketing tools, ensuring accurate audience definitions for activation

Analyse customer behaviour, engagement patterns and trends to inform segmentation and personalisation strategies

Prepare, validate and optimise audience extracts using customer attributes and behavioural signals

Contribute ideas to improve segmentation models, customer scoring logic and overall data-driven marketing effectiveness

What’s in it for you?

Developing skills in SQL or Python for data querying and validation

Gaining practical experience in marketing segmentation, personalisation strategies and customer lifecycle marketing

Exposure to BI and visualisation tools such as Looker, Tableau or Power BI

Understanding data privacy principles, including GDPR and consent management

A paid internship based in Berlin (in line with local market conditions)

Hands-on experience at one of the largest academic publishing groups and the opportunity to learn from experienced marketing and data professionals

Support from a buddy from one of Springer Nature’s employee networks

Access to career development, training and events, including an overview of different business areas at Springer Nature and advice on the job application process

The opportunity to work on projects related to inclusion and sustainability in the publishing industry

About us

Marketing Data, Analytics, and Technology is part of Springer Nature’s Advanced Analytics & Data Science 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.

About you

Currently enrolled in an undergraduate or graduate programme ( Data Science, Business Analytics, Marketing, Computer Science or related field), or a recent graduate

Available to start in June 2026 for an internship of up to six months

Strong interest in marketing data, analytics and research publishing

Basic SQL or Python skills for querying and exploring customer data

Analytical mindset with the ability to interpret data and translate insights into action

Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders

Basic project management and documentation skills

Desirable:

Basic understanding of segmentation strategies, customer lifecycle marketing or CRM systems

Experience using BI/visualisation tools (Looker, Tableau, Power BI)

Awareness of data privacy principles (GDPR, consent management)

How to apply

Application deadline: 18th of March 2026

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.

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.

If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us at EMEAC so we can make all necessary accommodations.

If you'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.

There are additional intern positions available across Springer Nature as part of this internship programme - find out more about other available opportunities.

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Job Posting End Date:

18-03-2026