continue to candidate homepage




Continue to client homepage

Data Scientist

  • Location

    Amsterdam, North Holland

  • Sector:

    Data Science

  • Job type:


  • Salary:

    €45000.00 - €65000.00 per annum

  • Contact:

    Aleksandra Sobczak

  • Email:


  • Job ref:

    JN -082021-89240_1630263990

  • Published:

    about 2 months ago

  • Startdate:


We are searching for a Data Scientist with strong analytical skills, affinity with Machine Learning and Deep Learning.

Would you like your problem-solving skills to have actual influence on industry-changing decisions?

Do you like turning research into commercial reality?

Are eager to implement machine learning into real-world applications?

Then we are looking for you!

Together with colleagues in interdisciplinary teams, you will be:

  • Setting up and maintaining Data Science pipelines
  • extracting and validating generated data with NLP techniques
  • Creating systems to model unstructured data sets
  • Testing product for reliability and AI bias
  • Developing tools to expose the processed information

Your contribution:

  • Data Scientist background with Machine Learning experience
  • Working knowledge of Python Programming (latest version is a big plus)
  • Familiarity with NLP and programming libraries
  • Great co-operation with Data Engineers and on creating innovative solutions
  • Familiarity with data visualization in Python

What the company offers:

  • creative autonomy
  • Competitive salary
  • 25 vacation days
  • Challenging assignments
  • Possibility of certificates, investment in personal development
  • Diverse team

About Us:

Our client is a AI consulting company focused on problem-solving. they believe that Data Science will change the world as we know it and they want to be pioneers of that change.

Please contact me for more info:


+31 20 299 0835

Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.

Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.

Save job