Back to jobs

Senior Data Scientist, Fraud Detection - (Fintech, Credit and Fraud)

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Own credit and fraud problems end to end, from framing to live monitoring

  • Build and ship fraud and anomaly detection and real-time transaction decisioning models

  • Build acquisition scorecards and behavioural limit management models

  • Give Risk, Compliance, Finance, Payments and leadership clear, actionable recommendations

  • Build data marts and pipelines that produce features and training datasets

From the employer’s posting
you’ll own credit and fraud risk problems end to end
Build and ship models: fraud and anomaly detection, real-time transaction decisioning
acquisition scorecards, and behavioural limit management
Give Risk, Compliance, Finance, Payments, and leadership a clear recommendation they can act on
Build the data foundations: data marts and pipelines that produce features and training datasets.

What you’ll bring

All qualifications

Core experience

  • Strong Python, testing, and CI/CD.
  • Experience in fraud, credit risk, payments, or fintech.
Qualification wording
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.
Experience in fraud, credit risk, payments, or fintech.
Apply at Delivery Hero

Posting record

Report an error

Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 30, 20264 days ago
Recorded sightings
6
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 7 and day 55.

From 9,971 similar postings that came down. Coming down is not always a hire.

Delivery Hero is hiring

26 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is steady
  • Takes jobs down quickly
  • 23% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • BigQuery
  • Airflow
Where the posting names them
- 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.

Your next step

Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

Applying through SmartRecruiters

  • Uploading your resume fills in the application form for you, so check what it filled before you send.

Already applied? Track this application

Job description

View original posting ↗

Job Description

Deep analysis. Smarter systems. Real users. As a Senior Data Scientist, you’ll own credit and fraud risk problems end to end — from framing an ambiguous 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. Your models decide who gets credit and which transactions get stopped, for millions of customers and merchants across our markets.

The Fintech Data Science team sits at the centre 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, so the business can grow lending responsibly while keeping losses, chargebacks, and financial crime exposure under control. We work with AI every day — coding agents and LLM tools for pipelines, data exploration, code and test writing, and documentation — and we check what they produce rather than trusting it.

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. 

  • 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.
  • Give Risk, Compliance, Finance, Payments, and leadership a clear recommendation they can act on, and the reasoning behind it.
  • Work closely with Engineering on reliability, owning the full data science lifecycle including deployment.
  • Build the data foundations: data marts and pipelines that produce features and training datasets.
  • Drive experimentation through to model rollout, then monitor what’s live and fix drift at the source.

Qualifications

  • 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 support your recommendation with evidence when it’s 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.

Additional Information

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

  • 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. 

  • 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 and Food Vouchers. 

  • Wondering what relocating to Berlin is like? In this article, we’ve put together 10 things you should know about moving to Berlin  and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.

  • Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters.

Heads up: exact benefits may look a little different for intern, working student, fixed-term, and part-time roles.

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

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 inclusion@deliveryhero.com.

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

Company Description

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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Berlin, Germany

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape. - 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
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.