Garanti BBVA International

RPA Developer – Data Scientist

Garanti BBVA International

full-time

Posted on:

Origin:  • 🇳🇱 Netherlands

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Job Level

Mid-LevelSenior

Tech Stack

AzureCloudPythonRPASQL

About the role

  • Lead development of advanced analytics, machine learning and intelligent automation initiatives.
  • Build and manage Power Automate cloud flows, desktop flows (RPA), and IDP solutions using AI Builder or Azure Form Recognizer.
  • Automate business workflows and document processing across Operations, Finance and Risk.
  • Integrate GenAI services (e.g., ChatGPT Enterprise, Custom GPT, Azure OpenAI or Copilot Studio) into automation scenarios.
  • Develop and maintain machine learning and GenAI-powered models for prediction, classification, document generation, and summarization use cases.
  • Apply best practices in feature engineering, training, evaluation, and model retraining strategies.
  • Explore and implement domain-specific applications of large language models (LLMs), including prompt engineering and fine-tuning.
  • Collaborate with IT, Legal, DPO, and Compliance to establish the organization's AI governance framework.
  • Define AI/ML policies, risk assessment procedures, and usage guidelines to ensure responsible and ethical AI deployment.
  • Contribute to the design of a secure, scalable AI infrastructure, enabling both in-house model training and safe API-based GenAI usage.
  • Support integration of AI tools into Microsoft ecosystem (e.g., Azure AI Services, Power Platform, M365 Copilot).
  • Act as a subject matter expert and enabler for AI initiatives across departments.
  • Maintain structured documentation for models, automation flows, and governance artifacts.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field (Must have)
  • At least 3+ years of experience in Automation, Data Science & Machine Learning (Must have)
  • At least 3+ years of working experience in the banking domain, with familiarity in financial product data (Must have)
  • Proven expertise in developing Power Automate flows (cloud, desktop) and IDP solutions using AI Builder or similar tools (must have)
  • Practical experience in GenAI model usage and prompt engineering, ideally with LLMs such as OpenAI or Azure OpenAI
  • Hands-on experience with ChatGPT Enterprise and the creation of Custom GPTs tailored to internal business use cases
  • Strong programming skills in Python and SQL; experience with model development and automation scripting
  • Familiarity with AI governance concepts and experience in defining policies, risk frameworks, or compliance documentation
  • Experience with Microsoft Azure ecosystem (e.g., Azure ML, Azure OpenAI) is a plus
  • Understanding of version control (Git), DevOps/MLOps pipelines, and secure software development practices
  • Effective communication skills to work with business, compliance, and engineering teams
  • Strong ethical mindset, analytical thinking, and willingness to drive responsible AI adoption