Data Scientist

Job Location: 
Payvision Amsterdam, the Netherlands Amsterdam, the Netherlands



Careers at PayvisionWith solid business growth and an ever-expanding team of payment experts, Payvision is growing its Amsterdam Data analytics team by hiring a motivated data scientist with strong analytical and programming skills to fuel our strong ambition of becoming one of the most innovative and data-driven payment processing companies in the world. Our perfect candidate has excellent data warehousing and data mining skills, an analytical and systems focused mindset, and the ambition to work with people to create innovative solutions to dynamic and complex problems. You will be responsible for designing, building and maintain data driven products and tools that enable Payvision to gain key insights that help to drive growth and optimization throughout the business.


Company information:

Informal, innovative, ambitious, and professional – Payvision is focused on providing best in class technology-driven services to the fast-growing global market for online ecommerce payments. With over a decade in the global payments market, Payvision simplifies the complexity of local and cross-border ecommerce. We provide our customers with flexible and easy to integrate credit card and alternative payment method processing services via our highly effective and reliable platform developed by our leading IT teams based in Amsterdam and Madrid. Headquartered in Amsterdam and with offices across Europe, the US and Asia-Pacific, we offer over 150 transaction currencies, a high-end reporting interface and a solid risk management solution in over 40 countries. By hiring experts all over the world Payvision will continue its strong growth in global omnichannel commerce and remain a dynamic and exciting company to work for.



  • Translating business challenges from different departments into data science problems and solving them
  • Analyzing millions of daily financial transactions, combined with structured and unstructured data from various sources, such as the social media, the web, IT machine logs, CRM, etc., to extract valuable insights that could help us become innovative in our businesses
  • Designing and implementing diverse predictive models for different departments within Payvision. Some of the problems include fraud detection, predicting authorization of transactions, churn prediction, detecting IT security threats, etc.
  • Generating useful dashboards to effectively communicate results to the business
  • Exploring various public datasets and identifying their added values for our business
  • Attending events on behalf of Payvision where required
  • Providing insights and strategic advice on data opportunities and future capabilities, so that Payvision remains at the cutting edge of the Payments industry



  • Bachelor or higher qualification in Data Science, Computer Science, Applied Mathematics, Econometrics, or other relevant fields
  • Strong programming skills in either Python, Scala or Java
  • Experience with machine learning algorithms
  • Experience with (or strong affinity for) Big Data technologies like Spark, Hive, etc
  • Experience with any of data visualization tool like Kibana, D3.js, Tableau, Spotfire, etc.
  • Experience with Apache Nifi, Elasticsearch, Kibana, Splunk, Neo4j, shell scripting is a plus
  • Affinity with Finance / Ecommerce / Payments
  • Strong learning attitude, pro-active and hands-on mentality
  • Excellent communication skills and effective team player
  • Fluency in English


We offer:

  • A challenging job in an informal but ambitious environmentt
  • Small teams, where personal development is highly valued
  • Huge personal development opportunity in Big Data / Data Science skills
  • Opportunity to gain experience in the Finance / Ecommerce / Payments industries which are innovative and becoming increasingly data driven
  • An office in the center of one of the world’s most vibrant cities: Amsterdam
  • Work within a successful, dynamic and growing organization, with a matching company spirit
  • Excellent primary and secondary remuneration conditions


Acquisition based on our vacancies is not appreciated. For more information please mail to: or call our local office.



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