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Data Scientist(m/w/x)
Designing scalable data product architecture for Europe's largest savings platform. 5+ years data science and software engineering experience required. Career development support, equal opportunity employment.
Requirements
- At least 5 years of data science and software engineering experience
- Experience in dynamic environment with modern tech stack
- Experience in Operations, specifically customer service automations
- Applying machine learning techniques to business problems
- Experience with tabular and natural language data
- Strong command of SQL
- Strong command of Python and its scientific stack
- Good understanding of Software Engineering practices
- Experience with productionizing ML products
- Recent hands-on experience deploying and maintaining AI agent/workflow powered by LLMs
- Experience with LLM SDKs (openai, anthropic, google-genai)
- Experience with prompt engineering frameworks (llama-index, langchain, dspy)
- General understanding of LLMOps principles
- Experience evaluating, testing, versioning, and experimenting prompts
- Experience with LLMOps tools (langsmith, langfuse, arize-phoenix, lunary)
Tasks
- Plan and execute service roadmaps
- Design scalable and robust data product architecture
- Research and build data models
- Test and deploy data models
- Monitor product performance metrics
- Make data-driven adjustments to optimize results
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- numpy
- pandas
- matplotlib
- scikit-learn
- LLMs
- openai
- anthropic
- google-genai
- llama-index
- langchain
- dspy
- langsmith
- langfuse
- arize-phoenix
- lunary
Benefits
Other Benefits
- Equal opportunity employment
Career Advancement
- Career development support
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Data Scientist(m/w/x)
Designing scalable data product architecture for Europe's largest savings platform. 5+ years data science and software engineering experience required. Career development support, equal opportunity employment.
Requirements
- At least 5 years of data science and software engineering experience
- Experience in dynamic environment with modern tech stack
- Experience in Operations, specifically customer service automations
- Applying machine learning techniques to business problems
- Experience with tabular and natural language data
- Strong command of SQL
- Strong command of Python and its scientific stack
- Good understanding of Software Engineering practices
- Experience with productionizing ML products
- Recent hands-on experience deploying and maintaining AI agent/workflow powered by LLMs
- Experience with LLM SDKs (openai, anthropic, google-genai)
- Experience with prompt engineering frameworks (llama-index, langchain, dspy)
- General understanding of LLMOps principles
- Experience evaluating, testing, versioning, and experimenting prompts
- Experience with LLMOps tools (langsmith, langfuse, arize-phoenix, lunary)
Tasks
- Plan and execute service roadmaps
- Design scalable and robust data product architecture
- Research and build data models
- Test and deploy data models
- Monitor product performance metrics
- Make data-driven adjustments to optimize results
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- numpy
- pandas
- matplotlib
- scikit-learn
- LLMs
- openai
- anthropic
- google-genai
- llama-index
- langchain
- dspy
- langsmith
- langfuse
- arize-phoenix
- lunary
Benefits
Other Benefits
- Equal opportunity employment
Career Advancement
- Career development support
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Trade Republic
Industry
FinancialServices
Description
Trade Republic is the largest savings platform in Europe, empowering everyone to build wealth with easy access to financial systems.