Data Scientist, N26

• Background:
• Bachelor’s or Master’s degree, ideally with a focus on quantitative disciplines including mathematics, statistics or computer science
• Professional experience in the prototyping, development and productionizing of machine learning solutions
• Professional experience with artificial intelligence and/or natural language processing, including large language models will be strongly preferred
• Skills:
• Good understanding of common machine learning algorithms and ability to teach junior data scientists
• Good programming skills - ideally in Python. SQL querying
• You are creative, organised, self-motivated and willing to work in a diverse, agile team to drive ambitious data science projects from conception through coding to deployment
• Continuously learn and challenge the status quo: You are motivated and proactive in carrying out applied research around the latest advances in generative AI and machine learning and are able to translate your findings into usable prototypes
• You give and receive open, direct and timely feedback
• Language skills: English full professional proficiency; Proficient knowledge of German, French, Italian or Spanish will be appreciated

• We are seeking a Data Scientist as part of our Data Science Client Experience team to build production-ready applications
• Our team develops practical machine learning services to enable innovative and customer-facing product features
• Have the possibility to work on cutting-edge data science projects end-to-end: from data exploration to applying state-of-the-art machine learning techniques and building production-ready applications
• Your work will directly impact the client and customer support experience of our N26 products
• Work in an agile way and with experienced data scientists, machine learning engineers and product managers to deliver customer value and allow you to develop your skill-set further
• Have the opportunity to experiment with state-of-the-art technology and project ideas around generative AI

Total funding: $1.7bn

Europe's global digital banking market is growing rapidly, attributed to changing customer preferences, growing adoption of advanced technologies, and increasing digitalisation across the fintech sector. Online banking is becoming one of the most popular payment methods in Europe due to its easy-to-use and advanced features.