Marketing Data & Personalisation Intern, Springer Nature Opening Doors Programme

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 Research Marketing 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

Whats 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 Natures 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 Natures Research Marketing 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 Natures global portfolio.

About you

• Currently enrolled in an undergraduate or graduate programme (e.g. 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 so we can make all necessary accommodations.

If youre 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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