BNP Paribas CIB
Data Scientist
BNP Paribas CIBPoland5 days ago
Full-timeRemote FriendlyEngineering, Information Technology
Join our high-impact AI team within BNP Paribas’s Corporate & Institutional Banking (CIB) division, where You’ll design, build, and deploy AI-powered solutions to revolutionize how we extract insights from unstructured data, automate decision-making, and enhance operational efficiency. Your work will directly impact credit risk assessment, client onboarding, and regulatory compliance - driving innovation at the heart of global banking.

As a team, we develop and scale a cutting-edge software platform powering the entire corporate credit chain - from origination to monitoring. Used by thousands of employees across 50+ countries since 2019, our platform is a critical backbone for global credit operations.

We Work In Agile/Scrum With Monthly Production Deployments, Fostering a Culture Of Continuous Innovation And Collaboration. As Part Of a 200+ International Team Organized Into Cross-functional Feature Squads, You’ll Have Access To

  • Mentorship & knowledge-sharing from top-tier local and global experts.
  • Career growth through hands-on work on AI-driven solutions with real-world impact.
  • Scaling opportunities as we expand our AI team significantly in 2026.

Data Scientist

Requirements

  • 3-5 years of professional experience in Machine Learning / Natural Language Processing – hands on experience with data cleaning, normalization and transformation.
  • Hands-on experience with GenerativeAI, knowledge of OpenAI API (experience with agentic frameworks is a plus).
  • Knowledge of NLP libraries and Machine Learning / Deep Learning frameworks (PyTorch / scikit / etc.). Experience with model assessment.
  • Proficiency in Python programming.
  • Production-oriented mindset – knowledge of Docker (Kubernetes is a plus), MLOps, basic knowledge of CI/CD pipelines, unit testing.
  • Strong curiosity and willingness to learn.
  • Team player attitude.
  • Proficient English (mandatory for documentation and team communication).

Responsibilities

  • Extract critical data from documents – design and implement cutting edge information extraction pipelines that turn unstructured PDFs, contracts, statements and other banking documents into structured, searchable data.
  • Build and deploy agentic AI solutions – create autonomous assistants that can act on behalf of clients and internal users, streamlining processes and improving decision making.
  • Work daily with large language models (LLMs) fine tune, prompt, and integrate LLMs into production workflows to deliver real time insights.
  • Apply state of the art Natural Language Processing (NLP) – leverage advanced NLP techniques for text classification, language generation and entity recognition, boosting data quality and operational efficiency across the bank.

What We Offer

  • Hybrid work mode (50% working from home within a month).
  • Equivalent for remote work expenses (100 PLN per month).
  • Stable employment in the international company.
  • Fully paid private medical care for employee.
  • Pre-paid lunch card.
  • Employee Pension Plan.
  • Co-financed Multisport Card.
  • MyBenefit Cafeteria Platform.
  • Life insurance.
  • Car parking availability in the office building.
  • Trainings and development opportunities.

Key Skills

Ranked by relevance
Apply