Senior Data Scientist

Quick Facts

Senior Data Scientist focused on developing LLM-based agentic solutions for Investment Banking.

Description

Develop and industrialize generative AI and AI agent solutions for banking business processes, including document analysis, credit, and finance. Build agentic graphs, evaluation and observability frameworks, and deploy high-throughput open-weight models on GPU infrastructure with strong testing and DevOps practices. The role emphasizes full ownership, close collaboration with business teams, and shipping secure, compliant code.

Responsibilities

• Design and develop LLM-based agentic solutions to automate complex business processes
• Work with business teams to identify needs and drive AI solution adoption
• Develop data extraction pipelines and implement evaluation and observability frameworks for AI agents
• Deploy and industrialize models (LLMs, GPUs), ensuring quality through testing and DevOps best practices
• Take full ownership of driving AI features
• Respect LLM boundaries and non-determinism; communicate constraints clearly and build robust safety rails
• Test ideas and PoCs quickly, validate feasibility with data, and avoid technical debt
• Communicate technical trade-offs and mentor peers

Requirements

• Strong Python with object-oriented programming and enterprise software design patterns
• Track record building asynchronous microservices and endpoints using FastAPI
• Hands-on practice with pytest (unit, functional, and integration testing for ML/LLM pipelines)
• Bash scripts for automation, data handling, and container interaction
• Demonstrated understanding of LLM architectures via project portfolio
• Experience architecting multi-step, stateful agentic graphs using LangGraph or Google ADK
• Hands-on experience optimizing LLM pipelines programmatically using DSPy
• Experience deploying and running high-throughput open-weight models on GPU infrastructure using runtimes such as vLLM (CUDA and fine-tuning are a strong plus)
• Familiarity with automated build, test, and release pipelines (Jenkins)
• Experience setting up tracing, drift detection, and automated evaluations for generative workflows (e.g., Phoenix Arize)
• Commitment to shipping stable, secure, compliant code where auditability and data security are non-negotiable
• Knowledge of the general stack: Google ADK, LangGraph, DSPy, vLLM, FastAPI, Python, pytest, Arize Phoenix, Kubernetes, Jenkins, GPUs
• Nice to have: Corporate Institutional Banking project experience

Benefits

• B2B contract: 180–200 PLN net per hour or UoP Agreement
• Hybrid work with 50/50 office days in Warsaw
• Permanent contract or B2B cooperation
• Co-financed trainings, certification exams, and post-graduate studies
• Opportunity to influence the direction of solutions and implement your ideas
• Excellent working atmosphere and integration events