We are seeking a forward-thinking and versatile RPA Developer – Data Scientist to lead the development of advanced analytics, machine learning and intelligent automation initiatives. This role blends traditional data science with low-code automation, GenAI innovation, and AI governance, helping the organization transform both decision-making and operations. The successful candidate will not only build models and automation flows but also contribute to defining our enterprise AI governance framework, policy and risk controls, and secure AI infrastructure.

You will work cross-functionally with departments such as Operations, Finance, Risk, Compliance, Legal, Retail/ Corporate Banking to align AI use with business strategy, ethical standards, and regulatory expectations.

RPA, Automation & Intelligent Document Processing (IDP)

• 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.
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AI & ML Model Development

• 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.
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AI Governance & Policy Design

• 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.
• Document model development lifecycle, from data sourcing to risk evaluation and audit trails.
• Monitor usage of AI systems to ensure alignment with DORA, GDPR and governance controls.
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Secure AI Infrastructure & Enablement

• Contribute to the design of a secure, scalable AI infrastructure, enabling both in-house model training and safe API-based GenAI usage.
• Work with Engineering and IT Security to set up sandboxes, isolated runtime environments, and controlled data access mechanisms.
• Support integration of AI tools into Microsoft ecosystem (e.g., Azure AI Services, Power Platform, M365 Copilot).
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Collaboration & Business Partnering

• Act as a subject matter expert and enabler for AI initiatives across departments.
• Translate business requirements into data-driven and automation-enhanced solutions.
• Guide internal teams in applying GenAI and automation tools effectively and responsibly.
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Documentation & Reusability

• Maintain structured documentation for models, automation flows, and governance artifacts.
• Ensure version control and reproducibility using Git-based workflows.
• Promote reusability of developed assets across business domains.

Who are we looking for?

A colleague open-minded, very curious by nature and passionate about your job. You are not afraid to handle various tasks at the same time and meet tight deadlines. You are thinking proactively and always a step ahead, finding solutions with both internal and external stakeholders. You are a cooperating person who listens and invests in the work & persons to achieve common goals. You must naturally think out of the box and navigate in a fast changing and complex environment by questioning the how & the why.
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Skills/Qualifications:
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• 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

What we offer?

• Becoming part of a dynamic team in an international working environment.
• 30 vacation days.
• 13th Month.
• 8% holiday payment
• Laptop and Mobile phone.
• Annual extra appreciation payment.
• Pension Plan - Defined contribution scheme
• Collective Health Insurance – discount on additional health insurance.
• Educational budget and access to Coursera trainings

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Our organization:
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Garanti BBVA International (“GBI”) is a mid-sized European bank established in Amsterdam, the Netherlands since 1990 and serves to corporate and institutional and retail clientele. GBI is a wholly owned subsidiary of Turkiye Garanti Bankasi A.S. (Garanti) and has presence in Germany, Switzerland and Turkey. Our ultimate parent is BBVA. Aa dynamic “global boutique” bank, Garanti BBVA International offers fast, accurate, innovative, tailor-made and country-specific financial solutions in selected business lines though highly skilled and diverse talent management. We embrace creativity, are centered towards teamwork and oriented to create multicultural environment as we believe this to be a crucial element. Our vision is future-oriented and as a one big team GBI strives for corporate excellence and goal achievement. By joining our organization, you will find yourself constantly challenged and must be prone to apply out-of-the box thinking.