Requirements

• A track record of owning models end to end, from an unclear business question through build, validation, deployment, and real use by the business.
• Full-stack breadth: SQL and data analysis (e.g. BigQuery), orchestration and scheduled feature and training-data pipelines (e.g. Airflow), modelling, deployment (e.g. Metaflow, Vertex AI), and production monitoring. Strong Python, testing, and CI/CD.
• Fluency with AI tooling. You build with coding agents and LLMs every day, automate your own routine work, and spend LLM budget sensibly: the right model for the task, tight context, no tokens burned on what a script should do. And you catch what the output gets wrong.
• Independence and speed. You pick the approach, cut the scope, and ship, then explain why.
• Judgment under ambiguity. You can make a defensible recommendation when trade-offs have no single right answer: false positives vs. fraud caught, loss vs. approval rate.
• Clear communication. You can explain modelling trade-offs to non-technical stakeholders and hold your position when challenged.

Nice to Have

• Experience in fraud, credit risk, payments, or fintech.
• Real-time or streaming decisioning systems.
• Building and deploying deep learning models in production.
• Building LLM- or agent-based solutions in production.

What You'll Be Doing

• Own problems end to end, from an unclear business question through data, modelling, deployment, monitoring, and adoption.
• Build and ship models: fraud and anomaly detection, real-time transaction decisioning, acquisition scorecards, and behavioural limit management.
• Make decisions and explain them. Give Risk, Compliance, Finance, Payments, and leadership a clear recommendation they can act on.
• Work with Engineering closely on reliability, owning DS lifecycle including deployment.
• Build the data foundations: data marts and pipelines that produce features and training datasets.
• Drive experimentation towards model rollout and monitoring.
• Use AI tools to work faster, and review what they produce.

Perks and Benefits

• Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
• We offer 27 days holiday with an extra day on 2nd and 3rd year of service
• We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
• Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym Subsidy.
• Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
• The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.