Senior Data Scientist

N26; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading fintech company in Berlin is looking for a Senior Data Scientist to build cutting-edge machine learning applications that drive innovative solutions in financial crime prevention and credit risk assessment. The role involves end-to-end responsibility, from data exploration to production deployment. Ideal candidates will have a strong academic background, deep experience with machine learning techniques, and programming skills in Python and SQL.

Leistungen

Competitive personal development budget

Work from home budget

Discounts to fitness & wellness memberships

Language apps and public transportation discounts

Additional annual leave for each year of service

Relocation package with visa support

Qualifikationen

• Experience with machine learning in banking applications.
• Hands-on experience in a variety of modeling techniques.
• Ability to mentor junior data scientists.

Aufgaben

• Build production-ready machine learning applications.
• Drive projects and collaborate with other data professionals.
• Experiment with new technologies and project ideas.

Kenntnisse

End-to-end machine learning application building

Python programming

SQL proficiency

Modeling techniques knowledge

Collaboration skills

Fluent in English

Ausbildung

Bachelor’s or Master’s degree in quantitative disciplines

Tools

TensorFlow

Keras

PyTorch

Docker

AWS Sagemaker

Jobbeschreibung

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 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.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We’ve eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500‑strong team of more than 80 nationalities.

Sounds good? Apply now for this position.

Equal Opportunities:

We recognize that our strength lies in our people and the varied perspectives they 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. If there’s anything you need to make the application process work for you, please let us know by reaching out to [e-mail].

Visit our website to learn more about Diversity, Equity, & Inclusion at N26.