Internship - Data Science
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 Holch Povlsen. We have strong partnerships with some of the world’s leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify.
To find out more about what it's like to work at Klarna: klarna.com/careers
At Klarna we have been working tirelessly to simplify buying online for over 14 years. Our journey has taken us from a small Swedish payments company to a global player that influences the biggest brands out there. We have 2,500 employees, serve 60 million consumers and work with 100,000+ merchants. We are opening our doors to talented Master students to join our office in Stockholm as a Data Science Intern.
Data Science plays a vital role in Klarna’s operations. 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 as predicting customer lifetime value, predicting return behaviour in e-commerce, etc. Data Scientists in the Payment Selector team work to understand consumers’ favourite payment options and give them the best payment experience.
As a Data Science Intern in the Payment Selector team you will:
- Take part to a multifunctional team with experienced Data Analysts, Data Scientists and Engineers.
- Be involved in the whole process of model development. This includes everything from root cause analysis, data collection and feature engineering to training, validating and implementing machine learning models, computing performance statistics and live model monitoring.
- Be innovative, cooperative, collaborative, open and have a flexible mindset with critical thinking.
We are looking for someone who:
- Likes to be challenged and is comfortable in a fast-paced environment.
- Enjoys programming in Python and querying in SQL.
- Has good communication skills in English.
- Has recently completed a Master’s degree in Computer Science, Physics, Maths or a similar field.
Previous experience with machine learning is considered a plus.
How to apply:
Send your CV over 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.
Find out what it’s like to work at Klarna here: https://www.klarna.com/careers/
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.