Data Scientist â Berlin

Trade Republic; Berlin; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading financial technology platform in Berlin is seeking a Data Scientist with extensive experience in data science and software engineering. You will design and oversee data products to enhance customer support. The ideal candidate has over 5 years of experience, strong SQL and Python skills, and experience in deploying AI agents. This role is full-time and promises growth opportunities in a collaborative environment.

Qualifikationen

• 5+ years of data science and software engineering experience.
• Experience in customer service operations automations.
• Strong command of SQL and Python with scientific libraries.

Aufgaben

• Plan and execute the roadmap for services with the team.
• Design architecture for scalable data products.
• Research, build, test, and deploy models.

Kenntnisse

End-to-end data science and software engineering

Customer service automations

Machine learning techniques

SQL

Python

Software Engineering practices

AI agent deployment

LLMOps principles

Tools

numpy

pandas

matplotlib

scikit-learn

openai SDK

langchain

Jobbeschreibung

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 were 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 YOULL BE DOING

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 isnt just a resource - its a 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 WERE 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 - were 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 its our teams varied identities and backgrounds that make us sharper and stronger. Were 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.

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full Time

Experience : years

Vacancy : 1