Senior Data Scientist

Location:Berlin

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 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. 

Traits

• 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.

What’s in it for you:

• 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.