Senior Data Scientist BN_28/10/2026

Posted 6 Days Ago
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Warsaw, Warszawa, Mazowieckie, POL
Hybrid
Senior level
Information Technology • Consulting
The Role
Design and industrialize LLM-based agentic solutions for investment banking workflows. Build data extraction pipelines, asynchronous microservices, evaluation and observability frameworks, and robust safety rails. Deploy high-throughput models on GPU infrastructure while ensuring testing, security, compliance, auditability, and data protection. Collaborate with business teams and architects, communicate technical trade-offs, mentor peers, and rapidly validate AI proofs of concept.
Summary Generated by Built In
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.

Skills Required

  • Strong Python programming experience
  • Extensive object-oriented programming experience
  • Experience with enterprise software design patterns
  • Experience building asynchronous microservices and FastAPI endpoints
  • Hands-on pytest experience covering unit, functional, and integration testing for ML or LLM pipelines
  • Bash scripting for automation, data handling, and container interaction
  • Proven understanding of LLM architecture demonstrated through a project portfolio
  • Experience architecting multi-step, stateful agentic graphs using LangGraph or Google ADK
  • Hands-on experience optimizing LLM pipelines using DSPy
  • Knowledge of deploying and running high-throughput open-weight models on GPU infrastructure using runtimes such as vLLM
  • Experience with Jenkins automated build, test, and release pipelines
  • Experience with tracing, drift detection, and automated evaluations for generative workflows using tools such as Arize Phoenix
  • CUDA experience
  • Model fine-tuning experience
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The Company
HQ: Paris
358 Employees
Year Founded: 2005

What We Do

More than a simple IT consulting group, MARGO is an alchemy of talents with constantly enriched expertise, always encouraged to be dynamic and to flourish. For more than 17 years, we have been carrying out missions of the highest technical complexity, enabling the digital acceleration of our clients, while ensuring a perpetual intellectual and collective stimulation for all our talents. At MARGO it's Consultant First. By joining MARGO, your talent today will remain relevant tomorrow. We bring you into the group not only for what you are today but for the potential you wish to develop. At MARGO, you will be able to build your own path to excellence within our teams and our missions. Tailor-made to serve your ambition and to match your talent. Today, Margo has over 400 employees in 8 entities: ► MARGO Trading Systems: our full stack development offer in market finance ► MARGO Capital Markets: our business offer in market finance ► MARGO Analytics: our expertise in data science and data engineering ► A CAPELLA Consulting: our business offer dedicated to insurance ► CODE BUSTERS: our community of developers ► DELIVERED by MARGO: our 100% remote full stack development entity ► MARGO UK: expertise in complex coding and application support on the English market. ► MARGO Poland: expertise in complex coding in retail Banking on the Polish market

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