Role Overview
The Data Scientist will build production-ready applications, contribute to solutions in financial crime prevention and credit risk assessment, and collaborate with data scientists and product managers to deliver customer value.
What You Will Do
The Data Scientist will own well-scoped projects from data exploration to deployment, support junior colleagues, and have the opportunity to experiment with new tech stacks and project ideas.
Why It Might Be a Fit
The ideal candidate will have a strong passion for learning, a bias for action, and a willingness to make an impact from day 0, with a highly collaborative and self-motivated approach.
Requirements
- Bachelor’s or Master’s degree with a focus on quantitative disciplines
- Practical experience developing machine learning solutions
- Hands-on experience with a range of modelling techniques
- Strong programming skills in Python and SQL
- Working knowledge of infrastructure and the ability to ship and maintain code
- Familiarity with Deep Learning concepts and at least one framework
Benefits
- Competitive personal development budget
- Work from home budget
- Discounts to fitness & wellness memberships
- Language apps and public transportation
- Premium subscription on personal N26 bank account
- Additional day of annual leave for each year of service
- High degree of autonomy and access to cutting edge technologies
To apply for this job please visit n26.com.
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