Who we are
Klarna’s mission is to free people from all the meaningless time spent managing money and purchases, so they can do more of what they love. Every day at Klarna we help consumers, merchants, and partners to explore just how smoooth the modern purchase experience can be. Our position at the crossroads of payments, consumer financing, ecommerce and banking means we are uniquely positioned to do this. There is no label for what we do.
Klarna was born in Stockholm in 2005 and today has 2500 employees working across Europe and the US. We currently serve 60 million consumers, work together with 130,000 merchants and process more than a million payment transactions a day. We are growing at 40% year on year and our investors include Visa, Atomico, Sequoia Capital, Permira and Bestseller group/ Anders Holsch Povlsen. We have strong partnerships with some of the world’s leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify.
Data Science plays a vital role in Klarna’s operation. Historically, our focus areas have revolved around real-time risk decision-making for transactions. This can either pertain to credit assessment for individuals or identification of fraudulent transactions. Since then we have added many new data science areas such predicting customer lifetime value, predicting return behavior in e-commerce, etc. Data scientists in our Decision Services domain work on both the more mature projects, as well as the newer ones.
In order to be successful in this role we believe that you will have:
- Strong programming skills in Python, SQL and experience with popular machine/deep learning packages
(e.g. scikit-learn, keras, tensorflow, mxnet)
Experience with & knowledge of:
- Cloud platforms such as AWS or Google Cloud;
- Big data using Hive, Spark, EMR
- The theoretical foundations of classical and recent machine learning models and algorithms, such as generalized linear models, random forests and ensemble methods, deep neural networks etc.
A degree from a university in a highly technically numerate subject (e.g. Maths, Physics, Engineering or Economics).
How to apply
Send over a CV in English.
We can offer you an international working environment filled with smart and ambitious colleagues. We know that diverse teams are strong teams, so we welcome those from different backgrounds and experiences. As part of one of Europe’s fastest growing companies, you'll help play an important role in taking Klarna to the next level.