Senior Data Scientist – Fintech (Credit and Fraud)

SmartRecruiters, Inc.; Berlin; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

27 days holiday with an extra day on 2

Educational Budget 1,000€

Health Checkups and Gym Subsidy

Employee Share Purchase Plan

Food and meal vouchers

Zusammenfassung

Delivery Hero is seeking a Senior Data Scientist for the Fintech Data - Credit Risk & Fraud tribe in Berlin. You will own end-to-end models for credit and fraud, from framing questions to deployment in real-time decisioning, with collaboration across Risk, Compliance, Finance, and Engineering to ensure robust, scalable solutions.

You will leverage BigQuery, Python, and AI tooling to build, validate, and monitor models, advancing fraud detection and credit risk management across markets.

Qualifikationen

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

Aufgaben

• 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 to Risk, Compliance, Finance, Payments, and leadership with a clear recommendation to 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.
• Independence and speed: you pick the approach, cut the scope, and ship.

Kenntnisse

SQL

BigQuery

Airflow

Python

CI/CD

Testing

Metaflow

Vertex AI

Tools

Metaflow

Vertex AI

Jobbeschreibung

Senior Data Scientist – Fintech (Credit and Fraud)

• Full-time

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We push hard, learn quickly and stay human along the way. It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side. If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in.

We are on the lookout for a Senior Data Scientistto join the Fintech Data - Credit Risk & Fraud tribeon our journey to always deliver amazing experiences.

Be part of building the financial backbone of Delivery Hero. You’ll develop products that empower millions of customers and merchants, from seamless payments to innovative financial solutions like wallets and credit. Your work will support our path to profitability by creating financial flexibility for users and enabling smooth transactions across our markets.

The Fintech Data Science team sits at the center of how Delivery Hero extends credit and protects the business from fraud losses, spanning underwriting, portfolio risk management, and fraud prevention across our products. We build the models and decision systems behind credit approval, limit management, and fraud detection, enabling the business to grow lending responsibly while keeping losses, chargebacks, and financial crime exposure under control. We're looking for a Senior Data Scientist who can own these problems end-to-end from framing an ambiguous risk question, through building and validating the model, to getting it live in a real-time decision engine and defending it in front of a risk committee. This role combines deep statistical and machine learning expertise with practical credit and fraud domain knowledge, and the judgment to operate under constraints a pure modeling exercise doesn't have.

We expect you to work with AI. Our team uses coding agents and LLM tools every day to build pipelines, explore data, write and review code, and write tests and documentation. We want people who use these tools to work faster, and who check the output instead of trusting it.

In this role you will,

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.

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.

Building and deploying deep learning models in production.

Building LLM- or agent-based solutions in production.

• 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.

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We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.

We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at [e-mail].

Severely disabled applicants with equal qualifications will be given preferential consideration.

You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.