Our AI 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 platforms and ML tool stack.

In this role, you will collaborate with senior team members, business leaders, subject matter experts,, data scientists, and data engineers across the organization to develop impactful data science and machine learning solutions. Supported by the AI Team, your responsibilities will include:

• Contribute to validating and conducting technical feasibility assessments of high-impact data science use cases
• Work with cross-functional product teams to develop and productize data-driven components, driving and accelerating business value across Vestas' value chain
• Assist in the development of 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 Team to help mature and consolidate data science best practices

This role is ideal for someone with 1-3 years of applied data science experience, proficient in relevant techniques and tools, and eager to enhance their skills.
We are looking for candidates with many or most of the following qualifications and competencies:

• 1-3 years of experience developing and/or deploying 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, Economics or relevant
• Strong proficiency in Python and experience with data science libraries (e.g., pandas, scikit-learn) and machine learning frameworks (e.g., Tensor Flow, Py Torch)
• Hands-on experience with complex data manipulation, model building, and statistical analysis
• Expertise in forecasting methods and data visualization to inform business decisions
• Good communication skills and the ability to collaborate closely with both business and technology teams
• Fluent spoken and written English is essential

We are looking for an entrepreneurial spirit who has both the technical vision and the capability to roll sleeves up and translate needs into practical technical solutions. You are passionate and ambitious, take ownership, and can drive an agenda collaboratively. You seek to constantly acquire new knowledge, stay up to date within your field, and challenge yourself.

Purpose. An opportunity to impact climate change and the future of next generations through data, machine learning, and cloud engineering
Steep learning curve. You will be joining a strong team of senior data scientists and ML engineers with both broad and deep knowledge. That means that you will have somebody to learn from, just as we will invest in continuous learning, knowledge sharing, and upskilling
Strong relationships. We will strive 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 positions can be in our head quarter in Aarhus or in Copenhagen
Commitment to fostering 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 don't want to leave us again

This role can be based either in Aarhus or Copenhagen, Denmark
If you are based in Copenhagen, some travel to Aarhus is to be expected
We do amend or withdraw our jobs and reserve the right to do so at any time, including prior to the advertised closing date. Please be advised to apply on or before 1st October 2024
For further information please contact Ravi Bedadi, Senior Recruiter