T
Trade Republic
Data Scientist
Skills
SQL QueriesPythonData ScienceNumPypandasMachine LearningAINo-code AutomationsCustomer Support
15 days ago
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Important information
Contract type:
Permanent
Location:
Berlin, Germany
Work mode:
Onsite
Published on:
9 October 2026
What they need
- Our Operations Platform team leads the development of automated workflows and tools for our Operations and Customer Support staff to achieve an amazing customer experience
- To achieve this, we recognise that data isn’t just a resource - it’s a cornerstone
- Plan and execute the roadmap for your services together with the team
- Play a pivotal role in designing the architecture of your data products, ensuring they are scalable, robust, and synergistic with our existing platforms
- Research, build, test and deploy models - this is where you will spend most of your time. With a focus on team ownership, this gives a lot of time for our developers and data scientists to actually work technically instead of with process
- Once deployed, you will continue to oversee your products, monitoring their performance metrics and making data-driven adjustments as needed to optimise result- At least 5 years of end-to-end data science and software engineering experience, preferably in a dynamic environment with a modern tech stack
- Recent hands-on experience in deploying and maintaining an AI agent/workflow powered by LLMs, using both low level SDKs (openai, anthropic, google-genai,..) and prompt engineering frameworks (llama-index, langchain, dspy, ..)
- Experience with applying a wide variety of machine learning techniques to business problems, particularly with tabular and natural language data
- Experience working in Operations, specifically significant experience in customer service automations
- Strong command of SQL, Python together with its scientific stack (numpy, pandas, matplotlib, scikit-learn)
- Good understanding of Software Engineering practices (e.g. test-driven development, OOP, CI/CD, etc.) and experience with productionizing ML products
- General understanding of LLMOps principles, for evaluating, testing, versioning and experimenting prompts in staging and production (langsmith, langfuse, arize-phoenix, lunary, ..)
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