Lead Sustainability Data Scientist Full-time

Lead Sustainability Data Scientist

We offer a unique opportunity to shape the future of sustainability data analytics, AI and forecasting at Novo Nordisk. Are you ready to 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 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.

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:

• 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

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.

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.

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.