Lead Sustainability Data Scientist (Bagsværd, Capital Region of Denmark, DK)

Bagsværd, Denmark Type not listed
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About this opportunity

We offer a unique opportunity to shape the future of sustainability data analytics, AI and forecasting at Novo Nordisk. Are you ready lead the development of sustainability forecasting models, scenarios, and predictive analytics to support strategic decision-making. If so, then you might be our new Lead Sustainability Data scientist working as part of the Sustainability Data Solutions and AI Team at Novo Nordisk.

 

The position

We offer an exciting and challenging role where you will play a significant part in tackling sustainability challenges through data and AI. A key focus will be on identifying, establishing and maintaining accurate data from source-system to final data metrics. The aim is to ensure timely sustainability reporting, delivery of data products and develop our forecasts. In this role, you will play an important role in optimizing the overall data process from the collection of data and all the way to turning it into relevant products.

The position will be working across various departments in and outside sustainability thus, working at the intersection of sustainability and technology, ensuring the development of data analytics and providing decision support. To succeed in this, you can apply a highly structured working approach while collaborating with a wide variety of stakeholders globally and across the business

As part of the Sustainability Data and AI team, your main responsibilities will be to:

Deliver the technical forecasting solution for sustainability, combining commercial data with capacity plans, supply chain and procurement data, and others

Collect data from various source systems, sometimes manual, and identify potential optimisations e.g. digitalisation, AI, etc.

Deliver full End-2-End analytics from business requirement to data source/availability to end product (e.g. front end or model)

Set direction for the application of advanced analytics such as machine learning, predictive modelling and AI models within related to sustainability

 

Qualifications

You are structured with a strong business understanding from a corporate setting or consultancy and proven data and digital skills. You can open doors, challenge status quo and build business sound analytics. You thrive in a high-paced environment where not everything is a straight line.

The right candidate should have the following skills:

Proven track record (+5 years) of preparing, analysing and designing data for analytical purposes in the space of sustainability or data science within a corporate setting or consultancy

A degree in Management, Engineering, Data science or Sustainability with strong data acumen

Profound user experience in BI solutions such as Microsoft Power Suite, Tableau or similar.

At the forefront of understanding and applying AI

Experience in data analytics or engineering through self-service analytics such as Alteryx and able to work in coding languages e.g. Python, Julia or others. Experience working with solutions such as Databricks, Snowflake or Haystack is a plus but not a pre-requisite

Some prior experience working with sustainability analytics, reporting or modelling will be an advantage

Good communication skills

As a person we are looking for someone who enjoys being part of a fast-paced, diverse team and at the same time can work with a high degree of independence. You support those around you and work in a highly structured manner with a clear eye for details. Someone who is proactive and collaborative. You are ambitious and naturally focused on your deliverable. You bring the ability to deep dive into models and also to communicate with those with less technical insight than you. Finally, you have strong communication skills, both oral and written English. The ideal candidate excels at building and maintaining strong relationships with a wide range of stakeholders across different functions.

About the department

The Sustainability Data Solutions and AI team is part of the Sustainability Strategy and Insights Department in Novo Nordisk. The team consists of highly skilled data analysts and data engineers as well as business analysts who drive data analytics on the sustainability agenda on behalf of Novo Nordisk. The Department is currently consisting of 7 people in HQ, 2 colleagues in Poland and 2 colleagues in Bangalore, India. We work closely with stakeholders across Novo Nordisk to implement the sustainability strategy across our entire value chain.

 

Working in Novo Nordisk

Novo Nordisk is a leading global healthcare company with a 100-year legacy of driving change to defeat serious chronic diseases. Building on our strong legacy within diabetes, we are growing massively and expanding our commitment, reaching millions around the world and impacting more than 40 million patient lives daily. All of this has made us one of the 20 most valuable companies in the world by market cap. Our success relies on the joint potential and collaboration of our more than 65,000 employees around the world.

We recognize the importance of the unique skills and perspectives our people bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk, we’re working toward something bigger than ourselves, and it’s a collective effort. Join us! Together, we go further. Together, we’re life changing.

What we offer

At Novo Nordisk, you’ll join a global healthcare company with a unique culture and strong results. We offer continuous learning, career development, and benefits tailored to your life and career stage.​

Salary:  For this role, the Annual Base Salary ranges from 742,600DKK to 1,091,600DKK, 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.​

Learn more about our Reward Philosophy here .​

Contact

For further information, please contact Kim Salling, Director, Sustainability Data Solutions and AI

 

Deadline

September 11th, 2026

Please note that we will be reviewing applications on an ongoing basis, and we encourage you to apply as soon as possible. We will close this recruitment when we have found the right candidate.

You do not need to attach a cover letter to your application, but please include a few sentences about why you are applying in your resume or CV. To ensure an efficient and fair recruitment process, please refrain from adding a photo in your CV.

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

Seniority
Not listed
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Bagsværd, Denmark
Employment type
Not listed

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 219 comparable Biostatistics & Data Science roles across 35 biopharma companies.

219Comparable roles tracked
198Currently active
35Companies hiring similar roles
18Countries represented

Salary context

92 of 219 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.

This roleSubject Not listed on this posting
Lowest disclosed · Data Scientist · Merck KGaA $95,100/yr – $142,600/yr
Highest disclosed · Executive Director, Biostatistics · Vertex Pharmaceuticals Inc (US) $271,600/yr – $407,400/yr
Peer group range $118,850 – $339,500 (median $186,375)

Where these roles are based

Top locations among the 219 comparable roles

United States133
United Kingdom15
Japan11
Germany10
India9
Switzerland8

+ 12 more countries

Seniority mix

173 of 219 peers have a known seniority level

Senior44
Principal37
Associate Director34
Director26
Manager12
Intern/Fellow/Postdoc10
Senior Director7
Associate2
Executive/VP1

Therapeutic area mix

21 of 219 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology10
Rare Disease6
Immunology4
Cardiovascular / CVRM1

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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.

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Unmatched or unknown dimensions score exactly the same: 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.