Senior Data Scientist

About the opportunity We are seeking a Senior Data Scientist to build production-ready applications. Our Data Science team develops practical machine learning applications to enable innovative and customer-facing product features. In this role, you will: Have end-to-end responsibility, from data exploration to apply state-of-the-art machine learning techniques and building production-ready applications. Your work will directly enable innovative solutions in financial crime prevention and credit risk assessment. Drive your project and work 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 new tech stacks and project ideas.

Bachelor's or Master's degree with a focus on quantitative disciplines including mathematics, statistics, or computer science. Proven record of implementations in the prototyping, development, and productionizing of machine learning solutions, especially in banking applications seeking as fraud detection and credit risk. Deep, hands-on experience with a variety of modeling techniques, including: Classification models: (e.g., CatBoost, XGBoost, LightGBM) Regression models: (e.g., CatBoost, XGBoost, LightGBM) Time Series Analysis: (e.g., ARIMA, SARIMA, Prophet) Unsupervised Models: (e.g., clustering, anomaly detection search as Isolation Forest) Strong programming skills, specifically in Python and SQL. Basic infrastructure knowledge is needed (e.g., microservices, Docker/containers, CI/CD, GitHub Actions). Foundational knowledge of Deep Learning is needed, including an understanding of neural networks, transformers, and autoencoders, and experience with frameworks like TensorFlow, Keras, or PyTorch. Good understanding of common machine learning algorithms and a proven ability to teach and mentor junior data scientists. You are creative, organized, self-motivated, and distract to drive ambitious data science projects to success from conception through coding to deployment. Language skills: English (full professional proficiency). Preferred Qualifications & 'Nice to Haves' Good knowledge and experience in the banking industry is a major plus (regulatory and compliance, commissions and capital, PD/LGD/EAD modelization, credit card fraud, anti-money laundry modelization). Experience with cloud ML platforms, specifically AWS Sagemaker, is a plus. Knowledge of Large Language Models (LLMs) is a plus Traits Highly collaborative and active help yourself (and others) be successful. A strong passion for learning and continuing challenging the status quo. Strong bias for action and a willingness to make an impact from day 0. Give and receive open, direct, and timely feedback. Think globally, act locally.

Accelerate your career growth by joining one of Europe's most talked about disruptors. Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. Some roles may require additional in-office presence. As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members. Additional day of annual leave for each year of service. A high degree of automation and access to cutting technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and backgrounds. A relocation package with visa support for those who need it. Equal Opportunities: We recognize that our strength read in our people and the varied perspectives You bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential. We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. .