Data Scientist (various levels)

Klarna makes shopping smoooth. And we do it with flair because shopping is fun. Every day, we help customers, businesses, and partners explore just how smoooth the modern shopping experience can be. 

It means we’re constantly changing the game. Always trying out new things. And we encourage our people to do the same. To grow. To develop. Because we don’t believe roles have to stay fixed. Instead we inspire our people to take an irregular career path. As a company of 350 dynamic start-ups, our whole business is built for it. So once you’re in, there’s no telling what will happen next.

Data Science plays a vital role in Klarna’s operations. Our first focus areas revolved around real-time risk decision-making for transactions, in relation to credit assessment for individuals and identification of fraudulent transactions. As Klarna grows, so does Data Science, and we now have several new Data Science focus areas such as predicting customer lifetime value as well as return behavior in e-commerce. 

What will you work on?

  • Developing state of the art machine learning, forecasting, and statistical models
  • Creating end-to-end machine learning pipelines
  • A solid understanding of both supervised and unsupervised machine learning techniques
  • Working together closely in cross-functional teams to develop models for addressing specific business problems at Klarna
  • Engaging software-driven workflow, deploying models to production, using version control, and using software engineering best practices

What will you need to be successful in this role?

  • Fluency in Python and SQL
  • Experience with version control systems like Git in a collaborative setting
  • Experience with cloud computing technologies such as AWS
  • Experience building data pipelines is a bonus
  • University degree (Masters preferred) with a major in a highly technical/numerate subject, i.e. statistics, mathematics, engineering, etc.
  • Good communication skills and being able to explain highly technical topics to non-technical audiences
  • Be practical, curious, collaborative, versatile, and have an innovative mindset
Application and recruitment process
Here at Klarna we are looking for people, not role descriptions. We offer several opportunities simultaneously.  When you apply, we will match your application to several roles and seniority levels, within different functions. What brings us together across positions and functions is a passion for Data Science, and a drive to make the Klarna experience as smoooth as possible.

So send your CV over in English and we'll take it from here!

Find out what it’s like to work at Klarna here:

About Klarna

Klarna was founded in Stockholm, Sweden in 2005. Since then, we’ve changed the banking industry forever. And now we’re creating the world’s smooothest shopping experience. We serve 80 million consumers worldwide, and partner with 190,000 merchants – with a new merchant joining us every 8 minutes. Including some of the world’s leading brands, such as H&M, ASOS, IKEA, Adidas, Samsung and Lufthansa. Our offices are spread over 17 different markets, hosted by +2,500 people from 90 nationalities.