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Data Scientist

Data Scientist

  • Location


  • Sector:

    Software Development

  • Contract Type:


  • Salary:

    €40,000 - €50,000

  • Contact:

    Clare Barbara

  • Job Reference:


  • Published:

    2 months ago

  • Expiry:


  • Client Details:


  • Consultant:

    Clare Barbara

  • Skills tags:

    Data Analyst

We are looking for a Data scientist to be part of our clients Data Team.
The chosen candidate will deliver world class data-driven products information regarding internal processes for the company. These products are aimed at improving their clients’ bottom-line. Developing such products requires the best to discover valuable patterns and insights from the underlying data.


  • Able to apply statistics, maths, machine learning, and predictive modelling to business requirements using various software tools.
  • Discover new information from the underlying data.
  • Elaborate strategies for the computation of DS models.
  • Working either in internal processes (mainly reports and small dashboards for specific internal purposes) and external (building highly standardised products, dashboards, models).
  • Ability to Extract the data in a timely manner according to business objectives.
  • Ability to operationalise Data Science experiments by creating, computing and calling web services.
  • Maintain the current Data Science processes to improve or change them.


  • New BI/ML/Statistical tools either from back-end and front-end point of view (Microsoft Azure is a big plus)
  • Research for new topics and models with other teams according to business requirements.
  • Proven experience in data analytics and statistics is a must (tools: R/Python).
  • Proven experience in visualising data, creating dashboards (tools: Dundas BI/ RShiny / Power BI, ggplot or any other R and Python package for this purpose).
  • The ability to query databases and perform statistical analysis (SQL, USQL) is a must.
  • A commercial mind-set with the ability to understand the business strategy.
  • The ability to work in an agile team environment.