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Open nowPosted 20 hours ago

Senior Data Scientist BN_28/10/2026

MARGO65 open roles

Pay
PLN 180 – PLN 200 an hour
Where
Warsaw
Work mode
Hybrid
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Your applicationOpen nowSenior Data Scientist BN_28/10/2026MARGO · Warsaw

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The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. MARGO postings stay open a median of 2 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted 20 hours ago

MARGO median: 2 days open

The posting

Context:

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.

Expectations:

  • Strong Python with extensive experience in Object-Oriented Programming 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).
  • Bash scripts for automation, data handling, and container interaction.
  • LLMs Architecture understanding proven by project portfolio.
  • Architecting multi-step, stateful agentic graphs using LangGraph or Google ADK.
  • Hands-on experience optimizing LLM pipelines programmatically using DSPy.
  • Practical knowledge of deploying and running high-throughput open-weight models on GPU infrastructure using runtimes such as vLLM (experience with CUDA and fine-tuning is a strong plus).
  • Hands-on familiarity with automated build, test, and release pipelines (Jenkins).
  • Experience setting up tracing, drift detection, and automated evaluations for generative workflows using tools like Phoenix Arize.
  • Dedication to shipping stable, secure code into flagship banking infrastructure where compliance, auditability, and data security are non-negotiable.
  • General Stack: Google ADK, LangGraph, DSPy, vLLM, FastAPI, Python, Pytest. Arize Phoenix. Kubernetes, Jenkins, GPUs.

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.
  • 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
  • You are taking full ownership in driving AI features.
  • You remember to respect the boundaries and non-deterministic nature of LLMs, communicate constraints clearly, and build robust safety rails.
  • 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.

Career Prospects:

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