Senior Data Scientist BN_28/10/2026 at MARGO (Warsaw, Poland)
MARGO· Warsaw, Poland· PLN 200–PLN 220/hr·
Role details
Job description
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.
Why work at MARGO
- Culture: Emphasizes excellence, exemplarity, and ambition. Peer-led acceleration with continuous learning (Learning Lunches, meetups, certifications). Encourages personal branding and thought leadership.
- Work environment: Hybrid approach – offices in La Défense (27th floor of Tour Aurore) with collaborative spaces, auditorium, rooftop terrace, and private gym. On-site presence is valued for social cohesion and innovation.
- Perks: Guaranteed certified training each year; sports communities (Running, Football, Yoga); participation in major events like Marathon de Paris. Great Place to Work certified (Top 30 in France with 83% employee approval).
- Hiring process: 3-step recruitment (Talent Acquisition + Business Developer, technical employee interview with logic exercises and algorithmic challenges, Head of Department final round). AI tools may be used in application review.