Senior Data Scientist BN_28/10/2026

Poland·WarsawPermanent contract & B2Bsenior

Data ScientistData

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Quick Summary

Key Responsibilities

Design and develop LLM-based agentic solutions to automate complex business processes. Work closely with business teams to identify needs and drive the adoption of AI solutions.

Technical Tools

Data ScientistData

A team responsible for the development and industrialization of applications for the Investment Banking division. Accelerating the integration of generative AI solutions and AI agents into business processes. A strategic environment within the platform, with high-impact use cases in document analysis, credit, and finance.

Strong Python with extensive experience in Object-Oriented Programming (OOP) and enterprise software design patterns.
Proven track record building asynchronous microservices and endpoints using FastAPI.
Hands-on practice in pytest (unit, functional, and integration testing for ML/LLM pipelines).

Responsibilities

~1 min read

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Design and develop LLM-based agentic solutions to automate complex business processes.
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Work closely with business teams to identify needs and drive the adoption of AI solutions.
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Develop data extraction pipelines and implement evaluation and observability frameworks for AI agents.
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Deploy and industrialize models (LLMs, GPUs), ensuring quality through testing and DevOps best practices
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You are taking full ownership in driving AI features.
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You remember to respect the boundaries and non-deterministic nature of LLMs, communicate constraints clearly, and build robust safety rails.
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You are a team player, communicate technical trade-offs cleanly with architects and business users, and enjoy mentoring peers.
→You are testing ideas and PoCs quickly, validate feasibility with data and avoid technical debt.

Build expertise in Agentic AI architectures and the industrialization of LLMs in production. Work on high-visibility projects within the Investment Banking division.