Data Scientist (Ballerup, Capital Region of Denmark, DK)
About this opportunity
Data Scientist
Location - Ballerup
Your new department
The Data Scientist in the Commercial AI & Data department is responsible for designing, developing, and implementing advanced AI and machine learning algorithms to process and analyse structured and unstructured data from diverse sources. You will be part of a business area that drives impact across the full Novo Nordisk value chain. We strive to stay close to our stakeholders in the business to ensure we deliver on their needs, helping reach millions of people living with serious chronic diseases. Our focus is on being at the forefront within our three areas; ensuring the highest quality for patients, being a trusted tech leader and an environmentally responsible business.
Your key responsibilities include:
1. Define Data Science Strategy
Develop and influence the organization's data science vision and roadmap.
Collaborate with senior leaders and executives to align AI/ML initiatives with business priorities.
Help determine where data science can create the greatest strategic value.
2. Lead Innovation and Advanced Analytics
Design and champion innovative AI, machine learning, and advanced analytics solutions.
Solve highly complex business problems through advanced statistical and computational methods.
Evaluate and introduce emerging technologies and methodologies.
3. Serve as a Technical Authority
Act as the organization’s subject matter expert for data science.
Establish best practices, standards, and frameworks for model development and deployment.
Provide expert guidance on methodologies, tools, and architectural decisions.
4. Shape Business Decisions
Translate business opportunities and challenges into data-driven strategies.
Communicate insights, risks, and recommendations to executive leadership.
Influence investment decisions and enterprise-wide initiatives using evidence-based approaches.
5. Mentor and Develop Talent
Coach senior data scientists and technical leaders.
Build organizational capability through mentoring, knowledge sharing, and establishing communities of practice.
Help develop future leaders in data science.
6. Drive Cross-Functional Collaboration
Work across business functions, technology, engineering, analytics, product, compliance, and external partners.
Lead large-scale initiatives that span multiple teams and organizational boundaries.
7. Represent the IT Organization across the Stakeholders’ communities
Bring stakeholders together on the DS strategy and vision
Build external networks and stay at the forefront of AI and data science advancements.
Position the Enterprise AI org. as a leader in data-driven innovation.
Your new department:
The Data Scientist in the Commercial AI & Data department is responsible for designing, developing, and implementing advanced AI and machine learning algorithms to process and analyse structured and unstructured data from diverse sources. You will be entrusted with making independent decisions on the selection of suitable methodologies, and techniques for data analysis and model development.
Skills & Qualifications.
Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Ph.D. is preferred.
2+ years of experience in data science, machine learning, or AI, with a focus on developing and applying advanced algorithms.
In-depth knowledge of machine learning concepts, data modeling techniques and AI solution design.
Familiarity with scalable data pipelines and quality-assured coding practices is a plus.
Experience working with cross-functional teams (data engineering, ML engineering, analytics, product, operations).
Proven experience delivering data, analytics & AI solutions
Practical hands‑on experience with ML modelling and prototyping using Python and frameworks such as PyTorch or TensorFlow; comfortable with experiment design and evaluation.
Familiarity with MLOps tools and practices (e.g., MLflow, model registries, CI/CD for models) and cloud‑agnostic deployment patterns.
In‑depth understanding and practical experience with architecture, implementation, DevOps and support for AI solutions.
Experience working with cross‑functional teams (data engineering, ML engineering, analytics, product, operations) and external vendors.
Experience in pharmaceutical or regulated industries is beneficial but not mandatory.
Working at Novo Nordisk
Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long-term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you're not just starting a job – you're becoming part of a story that spans generations.
What we offer
There is, of course, more on offer here than the uniqueness of our culture and the extraordinary results we produce. Being part of a global healthcare company means opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind.
Salary
For this role, the Annual B ase S alary ranges from 570,200.00 to 838,100.00 DKK, corresponding to the level of the position.
The placement within the salary range will be assessed during the recruitment process based on the candidate’s skills, competencies, knowledge, and relevant experience.
Incentives and Benefits: The salary package may include short-term and/or long-term incentives as well as other employee benefits based on position level, location, functional area and relevant market benchmarks.
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
At Novo Nordisk, we're not chasing quick fixes – we're creating lasting change for long-term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger – a legacy of impact that reaches far beyond today.
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Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 137 comparable Biostatistics & Data Science roles across 22 biopharma companies.
Salary context
46 of 137 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 137 comparable roles
+ 11 more countries
Seniority mix
105 of 137 peers have a known seniority level
Therapeutic area mix
14 of 137 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.