We are seeking a Data Scientist to build production-ready applications. Our Data Science team develops practical machine learning applications to enable innovative and customer-facing product features.
Own well-scoped projects from data exploration and feature engineering through modelling to deployment, with guidance from senior colleagues on larger or more ambiguous problems.
Collaborate with data scientists, machine learning engineers and product managers to deliver customer value.
Support junior colleagues through code reviews, pairing and knowledge sharing.
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.
Practical experience (typically 2–4 years) developing machine learning solutions, with at least one model taken to production. Experience in banking, fraud detection, or credit risk is a plus.
Time Series Analysis: (e.g., Solid understanding of model evaluation, including handling imbalanced data, validation strategies,
and calibration.
Strong programming skills in Python and SQL.
Docker/containers, CI/CD, GitHub Actions) and the ability to ship and maintain your own code.
Familiarity with Deep Learning concepts (neural networks, transformers, autoencoders) and at least one framework (TensorFlow, Keras, or PyTorch).
You are organised and self-motivated, and can drive projects forward independently while knowing when to ask for input.
English (full professional proficiency).
Knowledge of the banking industry (regulatory and compliance, PD/LGD/EAD modelling, credit card fraud, anti-money laundering).
Experience with cloud ML platforms, especially AWS SageMaker.
What’s in it for you:
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
📌 Marketing Data Scientist (España)
🏢 N26
📍 España