---
title: 'Senior GenAI Data Scientist (m/f/d) at AutoScout24'
canonical: 'https://feeny.ai/job/senior-genai-data-scientist-m-f-d-autoscout24-munich-nkqmg7c9q77b'
type: 'job'
last_seen: '2026-09-08'
---

# Senior GenAI Data Scientist (m/f/d) at AutoScout24

- **Company:** AutoScout24
- **Location:** Munich, Germany
- **Posted:** 2026-01-16
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/autoscout24/jobs/7594404003

## Job description

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving, and transforming things for our customers. We’re driven, ambitious, and determined to do our best work together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.

As Senior GenAI Data Scientist, you’ll join our Data Science organisation and drive the development of next-generation AI solutions across the company. You will take ownership of building agentic GenAI systems, integrating knowledge into models, and setting up strong evaluation and monitoring frameworks that ensure we deliver reliable, scalable, and high-value AI products. This position is permanent and located in Munich (Germany) or Toronto (Canada).

What you’ll do:

- Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating product needs into scalable AI solutions and delivering production-ready implementations.
- Drive harness engineering practices across Data Science projects, creating agent-ready repositories, workflows, standards, and feedback loops that enable software engineering agents to generate, test, maintain, and review code reliably across AI, ML, and data products.
- Develop and maintain knowledge integration pipelines, including RAG architectures, custom model fine-tuning, vector search, and other grounding methods to ensure our AI systems have the right context for accurate, relevant outputs.
- Define evaluation strategies, build ground-truth datasets, and create automated test and monitoring setups to ensure stable long-term model performance and proactively detect issues such as drift or hallucination.
- Collaborate with engineering, data, and product teams to integrate AI components into platforms, workflows, and customer-facing products, designing clean APIs, robust pipelines, and scalable deployment patterns.
- Act as a hands-on expert for GenAI and agentic software engineering topics, mentoring peers, guiding solution architecture, and driving best practices in coding, testing, repository design, documentation, observability, and harness engineering across the team and beyond.
- Experiment with new tools, models, and architectures, identify high-impact AI opportunities, and build prototypes that can scale into production-ready solutions.

What you’ll bring:

- A degree in computer science, data science, engineering, or a related field.
- Experience designing maintainable, agent-ready engineering environments, including repository structures, coding standards, automated test suites, CI/CD workflows, documentation patterns, and feedback mechanisms that allow software engineering agents to safely generate, modify, review, and maintain code.
- Experience with knowledge graphs, graph-based retrieval, semantic modelling, or ontology-driven knowledge representation is a plus.
- Strong coding skills in Python and experience with robust software engineering practices.
- Practical experience with RAG pipelines, vector databases, embeddings, or fine-tuning workflows.
- Strong understanding of common challenges in AI development (ground-truth evaluation data, monitoring, integration complexity, model drift).
- Experience deploying AI systems in a cloud environment and working with modern ML stacks.
- Familiarity with MLOps, prompt engineering, or LLM-based application design.
- Ability to explain complex AI topics in clear and actionable language to technical and non-technical stakeholders.
- High motivation, ownership mentality, and a strong drive to build impactful AI products.
- Fluency in English; German is a plus.

A culture of growth. With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.

For a career where you can drive our business and shape your future, apply now.

## About AutoScout24

## Company Overview
- **One-liner**: AutoScout24 is the largest pan-European and Canadian online car marketplace, connecting millions of users with dealers for buying, selling, financing, and leasing new and used vehicles.
- **Entity Type**: Private (owned by Hellman & Friedman)
- **Headquarters**: Munich, Germany
- **Founded**: 1998 (originally as MasterCar AG)
- **Founders**: Not publicly available on the provided sources

## Core Business
- **Primary industry**: Online automotive marketplace, digital car trading
- **Target customers**: B2C (private car buyers and sellers) and B2B (car dealers, OEMs, finance/insurance partners)
- **Mission or purpose**: To inspire around automobiles and simplify complex decisions in car trading, offering a comprehensive solution for online car buying, selling, financing, and leasing

## Products & Services
- **AutoScout24 Marketplace**: The core platform offering listings for used and new cars, motorcycles, camping vehicles, and commercial vehicles. Available in 19 countries (Germany, Belgium, Luxembourg, Netherlands, Italy, France, Austria, Norway, Denmark, Poland, Sweden, and via Canadian acquisition).
- **AutoScout24 smyle**: Online vehicle purchase service that allows users to buy a car entirely online, with free delivery and ready-to-drive condition.
- **LeasingMarkt.de**: Germany’s largest marketplace for leasing offers, acquired in 2020.
- **AutoProff**: B2B digital platform for car trading among dealers (acquired in 2022).
- **AutoTrader.ca / AutoHebdo.net**: Leading Canadian online car marketplaces, acquired via Trader Corporation at the end of 2024.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Over 30 million monthly users; more than 45,000 dealer partners; approximately 2,000 employees.
- **Notable Investors/Partners**: Owned by private equity firm **Hellman & Friedman** (parent company). Strategic acquisitions include LeasingMarkt.de, AutoProff, and Trader Corporation (Canada).
- **Growth Signals**: Expanded into Canada in 2024; 33 active job postings with year-over-year growth of +120% in job postings; employee headcount growth from earlier years (now 2,000).

## Competitive Advantages
- **Pan-European scale**: Largest online car marketplace in Europe with strong network effects (millions of users, tens of thousands of dealers).
- **Integrated service ecosystem**: Combines listing marketplace, leasing platform (LeasingMarkt.de), B2B trading (AutoProff), and end-to-end online purchase (smyle).
- **Brand trust and editorial authority**: The AutoScout24 Magazine provides industry-renowned vehicle tests and guides since 2001.
- **Data-driven innovation**: Heavy investment in technology and AI (Senior GenAI Data Scientist, AI Enabler roles) to improve matching, pricing, and user experience.

## Strategic Focus
- **International expansion**: After entering Canada, likely continued geographic growth and consolidation.
- **Digital transformation**: Enhancing end-to-end online car buying/selling experience, including financing and leasing integration.
- **B2B growth**: Strengthening dealer tools and platforms (AutoProff) to capture more value in the wholesale market.
- **AI and data science**: Leveraging AI to improve search, recommendations, and operational efficiency (evidenced by multiple AI-focused job postings).

## Why Work Here
- **Culture and values**: Emphasis on diversity, equity, inclusion, and belonging with five Employee Resource Groups (Pride, Women@, Neurodivergence/Disabilities, Cross-Cultural, AS24Cares). Mandatory unconscious bias training for managers.
- **International environment**: Over 50 nationalities represented, English likely used as a working language.
- **Work environment**: Modern Munich headquarters with canteen, ice-cream machine, table tennis, rooftop terrace, free parking, and dog-friendly.
- **Career growth**: “Accelerate your career” philosophy with opportunities in engineering, product, data, marketing, and more. Strong learning culture.
- **Remote/hybrid policy**: Not explicitly stated in the provided text, but “flexible and inclusive ways of working” is mentioned on the careers page.
- **Employer rating**: 4.0/5.0 from 115 reviews on LinkedIn, with work-life balance noted positively.

## Sources
1. [autoscout24.com - Company Portrait](https://www.autoscout24.com/company/company-profile/portrait/)
2. [autoscout24.com - Careers](https://www.autoscout24.com/company/career/)
3. [autoscout24.com - Career Pages (Greenhouse)](https://www.autoscout24.com/as24-career-pages/)
4. [linkedin.com - AutoScout24 Company Page](https://at.linkedin.com/company/autoscout24)
5. [autoscout24.com - Management](https://www.autoscout24.com/company/management/management/)

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