Changing the future of payments takes strong personalitiesDo you see the power in data and have you had plenty of hands-on experience analysing and abstracting insights from data? Have you worked with data technologies, are you curious, innovative and take pleasure in picking up new data tools and methods? Do you want to be part of leading Machine Learning services in production? Skills, ambition and that little personal twist make you succeed We are looking for a Data Scientist// Machine Learning Data Engineer to an exciting position in the Data Analytics and Services department in Risk Management Service Area at Nets working in one of these countries: Denmark, Norway, Finland, Germany or Croatia.

Based on a self-developed XG Boost Model and continuously updated rules we detect and prevent payment card fraud for our customers. Payment fraud is a constant threat to consumers, merchants and banks and therefore an area we continuously need to improve mitigating actions against. Beyond our existing fraud prevention systems, we have also developed a Big Data environment around Hadoop, which further strengthens our position in the market. Based on our systems and understanding of data patterns we deliver fraud-mitigating services and produce internal and external reports on a frequent basis.

Areas of responsibility:

Preferred Profile:

Any one of the following experience would be an add-on:

We emphasise that you have solid business acumen, good interpersonal skills and the ability to effectively communicate and interact with colleagues and internal and external stakeholders. You are not afraid of challenging the existing and you can reach independent conclusions as well as taking the need of an integrated team into consideration and being able to guide, negotiate, influence and decide in complex, ambiguous and contradictory situations.

Apply now to power your career!