Munich (Germany)
Open 7 months, first seen by us 229 days agoA 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:Read the full posting
Design and build agentic GenAI systems with frameworks like LangChain or AutoGen
Develop knowledge integration pipelines such as RAG, fine-tuning and vector search
Define evaluation strategies, build ground-truth datasets and automated monitoring
Drive harness engineering so software agents can generate, test and review code
Integrate AI components into platforms and customer-facing products via APIs and pipelines
Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents
Develop and maintain knowledge integration pipelines, including RAG architectures, custom model fine-tuning, vector search
Define evaluation strategies, build ground-truth datasets, and create automated test and monitoring setups
Drive harness engineering practices across Data Science projects, creating agent-ready repositories, workflows, standards, and feedback loops
Collaborate with engineering, data, and product teams to integrate AI components into platforms, workflows, and customer-facing products
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
Open 7 monthsWe first saw this posting 229 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 229
Up longer than most. Similar jobs usually come down between day 7 and day 56.
Well past AutoScout24’s usual: its jobs come down by about day 24.
From 10,194 similar postings that came down, and 5 of AutoScout24’s. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- 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.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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:
What you’ll bring:
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.
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Munich (Germany)
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