Data Scientist –
LocationBerlin
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentData Science
Company size501–1,000 people
PostedMar 19, 2025 · 1y ago
Verified live22h ago
May no longer be actively hiring
First seen on the company's careers page 154 days ago69% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
at least 5 years of end-to-end data science and software engineering experience
Experience working in Operations, specifically significant experience in customer service automations
Experience with applying a wide variety of machine learning techniques to business problems, particularly with tabular and natural language data
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
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, ..)
General understanding of LLMOps principles
Skills
SQL
Python
numpy
pandas
matplotlib
scikit-learn
openai
anthropic
google-genai
llama-index
langchain
dspy
langsmith
langfuse
arize-phoenix
lunary
LLMs
CI/CD
BEST WORK OF YOUR CAREER
Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +10 million customers who trusted us with over 100B in assets. But we’re striving for more.
We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.
WHAT YOU’LL BE DOING
About the role
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. In this role you will:
•
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
WHAT WE’RE LOOKING FOR
•
at least 5 years of end-to-end data science and software engineering experience, preferably in a dynamic environment with a modern tech stack
•
Experience working in Operations, specifically significant experience in customer service automations
•
Experience with applying a wide variety of machine learning techniques to business problems, particularly with tabular and natural language data
•
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
•
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, …)
•
General understanding of LLMOps principles, for evaluating, testing, versioning and experimenting prompts in staging and production (langsmith, langfuse, arize-phoenix, lunary, …)
WHY YOU SHOULD APPLY NOW
Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!
We believe it’s our team’s varied identities and backgrounds that make us sharper and stronger. We’re committed to creating an environment where everyone feels respected and has equal opportunity to thrive in their careers. For any questions on DEI during the interview process, reach out to your recruitment partner.
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