pyne

The Team

Csenge Orban

Csenge Orban

Data Consultant

Elin Vangbo

Elin Vängbo

Data Consultant

Emilio Biz

Emilio Biz

Data Consultant

Gustavo Franck

Gustav Franck

Data Consultant

Keelan Larson

Keelan Larson

Data Consultant

Martijn Van Elferen

Martijn Van Elferen

Data Consultant

Michael Skaarup Jørgensen

Michael Skaarup Jørgensen

Data Consultant

Rafael Zincke

Rafael Zincke

Data Consultant

Struggling to harness the potential of your data?

Pyne is a Copenhagen-based Data Consultancy specializing in data engineering, analytics, strategy, machine learning, and AI. We turn raw data into actionable insights using the best tools on the market. We optimize data infrastructure, enhance analytics capabilities, and enable data-driven decision-making. Discover how our free 4-hour data assessment can unlock your data's potential and drive growth.

We work the way you want!

We offer flexible working arrangements, including both project-based work and Data Team as a Service. For project-based engagements, we tackle specific data challenges with precision and expertise, delivering targeted solutions on a defined timeline. Our Data Team as a Service option provides you with a dedicated team of data professionals to support ongoing needs, ensuring continuous improvement and adaptability. This approach allows you to scale resources according to your business requirements, leveraging our team’s extensive experience to drive your data initiatives forward efficiently and effectively.

Happy Team

Join us

We're a multi-cultural team from around the world! We come from diverse backgrounds, bringing different personalities, experiences and skills to the job.

  • Working closely with stakeholders
  • Lots of responsibility early on
  • Working with state of the art tools
  • Conferences abroad
  • Company dinners and parties
  • Work-Remote or at our SOHO, Copenhagen office
  • Company trips
  • Apply now →

We only use cutting edge technologies

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Let's get in touch

We offer 4 free consulting hours to assess your current data stack.

Contact us