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Senior Data Scientist (NLP)

Senior Data Scientist (NLP)

Berlin, Permanent

Orange Quarter are working with an exciting start-up who backed by global leaders in manufacturing and tech. They have developed a Cloud-based SaaS platform that uses data to unleash the full potential of buildings. Their data insights empower stakeholders to make their buildings much more sustainable, save endless amounts of money and increase the value of their assets. Building owners can then access all data collected in one 360° building management tool which functions as the foundation for a digital building ecosystem.


OQ-industries Internet of Things
OQ-industries Real Estate

What to expect:

You will collaborate with the tech and product teams to design and create end-to-end NLP solutions for the platform. You will help the company to use documents and languages as a key data asset. You will work on defining data and tech requirements to ensure scalable and efficient solutions are implemented, and the data collected will be used for meaningful insights. You will use your NLP expertise to advise other team members on best practices, tools and technologies.


  • Work on a completely green-field cutting edge product
  • The flexibility of a startup with the security of two huge parent companies
  • An extremely flat hierarchy with room for growth and clear learning pathways
  • Enjoy a high level of autonomy and responsibility with the ability to heavily influence the future of the product
  • Great salary, 30 days holiday and a nice bonus at the end of it


  • 3+ years of experience with data-driven NLP applications
  • You know how to take ideas and prototypes and turn them into Data-driven products
  • Knowledge of modern AI frameworks/toolkits (sklearn, pytorch, NLTK, spacy)
  • Solid experience working with modern AI methods in the context of NLP, including Deep Learning (LSTM, RNN, BERT), Embeddings (Word2Vec, FastText), and Language Translation
  • You're proactive, self-reliant, problem-oriented and customer focussed

Sounds good?

Apply now
For more information, connect with our specialised team member on LinkedIn Thomas Long