---
title: 'Senior Data Scientist BN_28/10/2026 at MARGO'
canonical: 'https://feeny.ai/job/senior-data-scientist-bn-28-10-2026-margo-warsaw-9t4n7j63g8y9'
type: 'job'
last_seen: '2026-11-02'
---

# Senior Data Scientist BN_28/10/2026 at MARGO

- **Company:** MARGO
- **Location:** Warsaw, Poland
- **Compensation:** PLN 200–PLN 220/hr
- **Employment:** contract
- **Work type:** hybrid
- **Posted:** 2026-10-28
- **Last confirmed live:** 2026-11-02
- **Apply:** https://jobs.lever.co/margo-group/2e59b552-3724-45c8-99f7-64ddcb1ae557

## 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.

## About MARGO

## Company Overview
- **One-liner**: MARGO is an international technology engineering and AI consulting group that transforms technological complexity into business performance for global leaders in finance, insurance, energy, manufacturing, and tech.
- **Entity Type**: Private (100% organically grown, no external funding disclosed)
- **Headquarters**: Paris, France (with offices in London and Warsaw)
- **Founded**: 2005
- **Founders**: Olivier Hemar and Xavier Lagarrigue

## Core Business
- **Primary industries**: Data, Cloud, and AI consulting; IT engineering services
- **Target customers**: B2B – large enterprises and global leaders in Finance, Insurance, Energy, Manufacturing, and Technology
- **Mission/purpose**: To solve highly complex IT challenges by combining engineering excellence with world-class partner solutions, transforming technological complexity into business performance and competitive advantage.

## Products & Services
- **Data, Cloud & AI Architecture Consulting**: Design and deployment of critical data, cloud, and AI architectures for high-stakes environments. Service type: Consulting & Engineering Services.
- **Hyper-specialized IT Consulting**: Focus on highly complex IT projects where the complexity of the mission correlates with its value. Service type: Consulting.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: €45M turnover in 2025 (annual revenue)
- **Notable Investors/Partners**: No external investors cited; company is 100% organically grown. Partners include global technology leaders (e.g., cloud and data platform providers).
- **Growth Signals**: 19+ consecutive years of growth; expanded from Paris to London and Warsaw with a team of 450; 34% of consultants from Tier 1 universities; certified Great Place to Work (Top 30 in France).

## Competitive Advantages
- **Hyper-specialization**: Focuses exclusively on highly complex IT projects, avoiding volume-driven commodity consulting.
- **Elite talent pool**: 34% of consultants from top-tier engineering schools (Polytechnique, CentraleSupélec, Télécom Paris, ENSIMAG) – 15% above market average.
- **Strong culture of excellence**: Peer-led EXCELLENCE Hub delivers 726 coaching sessions/year, 35 Learning Expeditions, one certified training per employee per year.
- **100% organic growth** since 2005, demonstrating a resilient and independent business model.

## Strategic Focus
- Continue organic growth by deepening relationships with key accounts in finance, insurance, and industry.
- Invest in the EXCELLENCE Hub to further develop technical skills and personal branding (e.g., speaking at Devoxx, ACCU, CppCon).
- Expand the hybrid work model that balances in-person collaboration (headquarters in La Défense, Paris) with remote flexibility.
- Maintain a selective project portfolio – prioritize quality and intellectual challenge over volume.

## Why Work Here
- **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.

## Sources
1. [margo.com – Company overview](https://www.margo.com/en/accueil-english/)
2. [margo.com – Company Life](https://www.margo.com/en/company-life/)
3. [margo.com – DNA & History](https://www.margo.com/en/dna-margo-en/)
4. [margo.com – Recruitment process](https://www.margo.com/en/recruitment-process/)
5. [jobs.lever.co – MARGO careers page](https://jobs.lever.co/margo-group)

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