Digital Solutions & Development > Digital Solutions > AI & Data Science Center of Enablement
Vestas’ Data and AI area partners across the organization to raise the bar for what we can achieve with data, analytics and AI. You will join our AI & Data Science team, which helps deliver impactful solutions across the value chain from turbine design, commercial, manufacturing, supply chain, and service. We work to ensure the scalability and accessibility of data science and machine learning solutions, reduce the time to delivery from PoC to production by using efficient processes and frameworks for spotting and qualifying opportunities, and creating reference architectures, MLOps frameworks, and modularized components that span across the ML lifecycle. We are on a cloud journey and are working primarily in a data science tool stack that currently includes Azure, Databricks, and Snowflake. We work in an agile setup and aim to build a collaborative team culture that supports continuous learning - and also brings some fun along the way.
Our AI & Data Science team is part of Vestas’ Digital Solutions organization set to drive the end-to-end digitalization of Vestas over the coming years. We co-build with product teams within and beyond Digital Solutions to leverage cross-functional competences for impactful ML solution delivery. In addition, we are working closely with our Data Platform team to mature our platform capabilities, shape our MLOps framework, and ensure the scalability of our data science workbench and ML tool stack.
We are seeking a highly experienced and technically skilled individual to take on a leading technical role. You will be responsible for implementing advanced optimization and machine learning solutions while managing a complex landscape of stakeholders. This position requires not only coding expertise but also a deep understanding of architecture, integration, and stakeholder management.
Responsibilities
- Lead the implementation of optimization and machine learning solutions, ensuring technical feasibility and scalability
- Drive technical vision alignment with Product Area Architects, manage technical roadmap execution within product portfolio, and lead cross-functional technical discussions and decision-making
- Develop methods, solution architectures, and best practices that can scale data solutions across the organization
- Contribute to the maturation of our data platforms and the enhancement of the data science tool stack
- Act as a bridge builder between data product teams and the AI & Data Science team to help mature and consolidate data science best practices
Qualifications
- 5+ years of experience developing and deploying optimization algorithms, statistical or machine learning models, ideally with tangible applications in a corporate context
- MSc. in a quantitative field such as Computer Science, Physics, Mathematics, Engineering, or Economics
- Proficiency in Python and data science libraries (e.g., pandas, scikit-learn, pytorch), and expertise in optimization methods and algorithms (e.g. linear programming)
- Hands-on experience with complex data manipulation, model building, statistical analysis, and designing cloud-based solutions (ideally Azure) using CI/CD
- Ability to collaborate closely with both business and technology teams, and to communicate technical topics clearly
- Knowledge of Salesforce is a plus
- Fluent spoken and written English is essential
Competences
- Entrepreneurial mindset with both technical vision and the capability to roll up your sleeves and translate business needs into practical technical solutions
- Passion and ambition to make an impact, combined with a strong sense of ownership
- Ability to drive agendas forward in close collaboration with others
- Curiosity and motivation to continuously acquire new knowledge and challenge yourself
- Commitment to staying up to date within your field and applying learnings in practice
What we offer
Purpose. An opportunity to impact climate change and the future of next generations through data, machine learning, and cloud engineering.
Intensive learning journey. You will be joining a skilled team of senior data scientists and ML engineers with both broad and deep knowledge. That means you will have somebody to learn from, just as we will invest in continuous learning, knowledge sharing, and upskilling.
Supportive relationships. We aim to build an informal environment of mutual trust and a tightly knit team, where we can support and inspire each other to deliver great impact for Vestas.
Opportunity to shape your role. We have been asked to scale and anchor the impact of AI & ML across Vestas. The rest is up to us.
Healthy work-life balance, with flexible working options. We want the best for the role, and the position can be based in our headquarters in Aarhus or in Copenhagen.
Commitment to promoting a diverse and inclusive workplace where everyone can thrive and bring their unique perspectives and skills to the team.
Overall, we will work hard to make sure that once you have joined us, you won’t want to leave us again.
Additional information
The position can be based in Aarhus or Copenhagen, Denmark. To ensure good collaboration and alignment with the team, you’ll be expected to work on-site at least three days per week.
Please note that this position does not include relocation support. We kindly ask applicants to ensure they are already residing in, or have the right to reside and work in, one of the listed locations before applying.
We review applications on an ongoing basis and may amend or close the job posting at any time - including before the advertised deadline. We encourage you to apply by 7 September 2025.
For further information, please contact Victor Aguirre Børsen-Koch, Hiring Manager at vcabs@vestas.com.
Our commitment to a fair hiring
At Vestas, we evaluate all candidates solely on professional experience, education, and relevant skills. To support a fair recruitment process, please remove any photos, dates of birth or graduation dates, gender pronouns, marital status, or other personal details not relevant to the role, before submitting your CV. Please keep your CV focused on work and educational details, and the necessary information that we contact you (email and phone number). We train our hiring teams in inclusive evaluation and regularly review process outcomes to ensure fairness.
DEIB Statement
At Vestas, we recognise the value of diversity, equity, and inclusion in driving innovation and success. We strongly encourage individuals from all backgrounds to apply, particularly those who may hesitate due to their identity or feel they do not meet every criterion. As our CEO states, "Expertise and talent come in many forms, and a diverse workforce enhances our ability to think differently and solve the complex challenges of our industry". Your unique perspective is what will help us powering the solution for a sustainable, green energy future.
BEWARE – RECRUITMENT FRAUD
It has come to our attention that there are a number of fraudulent emails from people pretending to work for Vestas. Read more via this link, https://www.vestas.com/en/careers/our-recruitment-process
About Vestas
Vestas is the energy industry’s global partner on sustainable energy solutions. We are specialised in designing, manufacturing, installing, and servicing wind turbines, both onshore and offshore.
Across the globe, we have installed more wind power than anyone else. We consider ourselves pioneers within the industry, as we continuously aim to design new solutions and technologies to create a more sustainable future for all of us. With more than 185 GW of wind power installed worldwide and 40+ years of experience in wind energy, we have an unmatched track record demonstrating our expertise within the field.
With 30,000 employees globally, we are a diverse team united by a common goal: to power the solution – today, tomorrow, and far into the future.
Vestas promotes a diverse workforce which embraces all social identities and is free of any discrimination. We commit to create and sustain an environment that acknowledges and harvests different experiences, skills, and perspectives. We also aim to give everyone equal access to opportunity.
To learn more about our company and life at Vestas, we invite you to visit our website at www.vestas.com and follow us on our social media channels. We also encourage you to join our Talent Universe to receive notifications on new and relevant postings.