Data Science Student in Strategy & Transformation

Data Science Student in Strategy & Transformation

Who We Are

NNIT is a niche specialist in IT for life sciences and highly regulated industries. We help pharma, biotech and medtech companies across Europe, the US and Asia, as well as public sector and regulated customers in Denmark, solve their most complex challenges where technology, regulation and business critical processes meet.

We are in the middle of a fundamental transformation. Our strategy, OneNNIT 2030, sets out how we will sharpen our position as a niche specialist, reshape our portfolio into a focused set of value pathways that take customers from advisory through implementation to managed services, bring our US and European organisations together as one, and become a genuinely AI-driven company.

The Strategy & Transformation Office leads that journey. It reports directly to our CEO, owns NNIT's strategy cycle, runs the transformation programme and builds the capabilities that will carry the momentum through to 2030. We are now building the team, and we are looking for a Data Science Student who wants to work at the heart of it.

What You Will Do

You will be part of the analytical engine in the Strategy & Transformation Office. Every major decision in our transformation needs a solid fact base, and every initiative needs to show that it delivers. You will help build both, and your work will land directly with our CEO and Executive Management.

You are comfortable with code and data, and just as interested in what the numbers mean for the business. You are AI savvy, and you are curious about the bigger picture of how AI transforms organisations, ways of working and business models.

Typical tasks include

▪ Building the fact base behind OneNNIT 2030, from portfolio and revenue analysis to customer, market and capability data
▪ Designing and maintaining the KPIs, dashboards and benefit tracking that show Executive Management and the Board how the transformation is progressing
▪ Modelling revenue, margin and demand across offerings and geographies as we consolidate our portfolio into value pathways
▪ Combining data from finance, sales, delivery and HR systems into analyses that inform strategic decisions
▪ Identifying, sizing and prioritising AI use cases across our offerings, delivery model and internal processes, and tracking AI adoption across NNIT
▪ Building prototypes and analytical tools in Python, SQL or Power BI, and using generative AI to work faster and smarter
▪ Turning analysis into clear insights and material for workshops, leadership meetings and strategy sessions

What You Will Bring

We imagine that you

▪ Are preferably in the third year of your Bachelor's degree, or in the first year of your Master’s degree, for example in Business ▪ Administration and Data Science or Digital Management at Copenhagen Business School
▪ Have a strong interest in data science, AI, strategy and business transformation
▪ Are curious about how data and AI change decisions, organisations and value creation
▪ Are analytical and structured, and able to turn complex data into clear insights that non-specialists can act on
▪ Have hands-on experience with Python and SQL, and with Power BI or a similar tool, alongside strong Excel and PowerPoint skills
▪ Communicate clearly and professionally in Danish and English, both written and spoken
▪ Take initiative, have a strong eye for quality, handle confidential information with discretion and enjoy working with senior stakeholders

What We Offer

You will join the Strategy & Transformation Office, which reports directly to the CEO, and work closely with the Head of Strategy & Transformation. You will have a front-row seat as NNIT redefines its strategy, organisation and portfolio, and you will work alongside Executive Management, senior leaders across Europe, the US and Asia, and our external advisors.

You will get real responsibility from day one, high exposure to senior leadership and the flexibility to balance work with your studies. Few student jobs offer a closer view of how strategy and transformation are done in practice.

Practical Information

The role is 15 to 20 hours per week, with flexibility around exams.

Please upload your CV and cover letter in English. We review applications on an ongoing basis, so we encourage you to apply soon.