December 2
Senior Data Scientist
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.
- Have end-to-end responsibility, from data exploration to applying 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.
What you need to be successful:
- 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, particularly in banking applications such 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 such 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, organised, self-motivated, and able 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, provisions and capital requirements, 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.
- Highly collaborative and actively help yourself (and others) be successful.
- A strong passion for learning and continuously 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 autonomy and access to cutting edge 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.
More information about the vacancy: Senior Data Scientist at N26
