• Job Intesity 40 hours
  • Location NH, Amsterdam
  • Language Dutch, English
  • Function Data Scientist
  • Expertise Medior (2-4 year)
  • Industry Financial Services
  • Coding Python, SQL
  • Dashboarding & Visualisation Tableau

    Apply for this job


    Data Scientist

    We are looking for a savvy Data Scientist to join our growing team of analytics experts!

    What will you do

    We are looking for a Data Scientist to join our growing team of analytics experts. The data team at Mollie is set up as a neutral entity between the departments. We help marketing, product and the business to make fact-driven decisions based on the input and analysis we provide.

    In this role, you will be generating insights for stakeholders from various departments – with a focus on the risk and finance teams. Since our team is still growing, your day to day will be a mix of dashboarding, reporting & analysis (experience in the payments and/or risk space is a strong plus!) and data science projects. Your work will open up new business opportunities and initiate process improvements.

    Your scope includes:

    • Build and maintain dashboards + ad-hoc reporting tools for the Finance and risk teams and provide training for end-users
    • Conduct exploratory analysis and present key findings to senior stakeholders
    • Work with your focus departments to create opportunities for data science projects up until bringing these into production
    • Contribute to the management of our reporting environment and data lake
    • Model / standardize our complex data to help create consistency across our reports
    • Contribute to knowledge sharing sessions and initiatives to improve ways of working within the data team
    • Represent the data team by presenting findings to the wider business at soapbox sessions

    What you have:

    • You have experience in analyzing data and automating complex data handling through SQL or Python
    • You are used to working with visualization tools such as Data Studio, Looker or Tableau
    • You approach complex problems in a structured way
    • You must be self-directed and comfortable supporting the data needs of multiple teams and initiatives
    • You can communicate your findings effectively to non-technical staff
    • Your experience as a data analyst or scientist in the payments or risk field is a plus

    Our selection procedure in a nutshell

    Apply by clicking the button below. The more you share about yourself and the reason you apply at Mollie, the better!