N26 is a German direct bank, headquartered in Berlin, Germany, that offers its services throughout the Eurozone, with the exception of Cyprus and Malta. N26 was founded in early 2013 by Valentin Stalf and Maximilian Tayenthal. In two years N26 has acquired more than 500.000 clients. It operates in 17 countries: Austria, Belgium, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Portugal, Slovakia, Slovenia, and Spain and currently employs 290 people. 


N26 Berlin, Germany
Full time
Department : Data We are The Mobile Bank. Our vision is to build a bank the world loves to use. Technology and design empower everything we do. N26   is Europe’s first Mobile Bank with a full European banking license. We redesigned the banking experience to be simple, fast and contemporary. Founded in 2013 by Valentin Stalf and Maximilian Tayenthal, N26 has more than 380 employees and more than 1 million customers in 17 countries. N26 has raised more than $215 million from renowned investors including Allianz X, Tencent Holdings Limited, Li Ka-Shing’s Horizons Ventures, Peter Thiel’s Valar Ventures, members of the Zalando management board and Earlybird Venture Capital. Your Role As a Data Scientist, you have the opportunity to have a major impact on our data landscape and help us leverage the latest technologies to create an efficient data-driven FinTech product Work closely with the core backend engineers and other data scientists to design and maintain scalable data models and pipelines Design scalable, performance algorithms to provide better and more intelligent user experiences Perform extensive exploratory data analysis and see beyond just the obvious data to provide valuable insights from user behaviour and transactional data Your Profile Ability to model a given problem mathematically and statistically Proven experience in developing scalable machine learning solutions for production environments with large amounts of data Sound understanding of modelling techniques and algorithms such as neural networks and support vector machines as well as evaluation methods is a big plus Solid knowledge of Java and/or Python with a solid general CS or engineering background; Experience with common data science toolkits such as R/Octave/Matlab desired Experience with NoSQL databases, AWS, Kinesis, Spark, front-end tools preferred You are creative, organized, self-motivated and like to drive projects to success Language skills: English full professional proficiency What We Offer High degree of autonomy Crucial role in a highly motivated, talented team Individual Professional Development Budget Your choice of a new Mac or Windows laptop Flat hierarchy and open communication Newly designed office in Berlin-Mitte A stack of the most modern technologies Probably the best cup of coffee in the neighbourhood Get Stuff Done Days Sound good? Send us your application online, and we’ll get back to you soon. Apply for this position