Data Scientist

Robert Half • Amsterdam Area, NL • 2w geleden

🚀 Now Hiring: RPA Developer – Data Scientist (Banking & AI Automation)

📍 International Environment | Hybrid/Flexible

I’m currently partnering with a leading financial services organization to source a forward-thinking RPA Developer – Data Scientist who will play a key role in shaping advanced analytics, intelligent automation, and GenAI initiatives across the business.

This is a high-impact, hybrid role blending data science, low-code automation, GenAI, and AI governance, ideal for someone who enjoys working at the intersection of technology, regulation, and business transformation.

🔍 The Role

You will design, build, and govern AI-driven solutions that transform decision-making and operations across Operations, Finance, Risk, Compliance, Legal, and Retail/Corporate Banking.

This role goes beyond model building—you’ll actively contribute to the organization’s enterprise AI governance framework, risk controls, and secure AI infrastructure.

🛠 Key Responsibilities

RPA, Automation & Intelligent Document Processing

Build and manage Power Automate cloud & desktop (RPA) flows
Design IDP solutions using AI Builder / Azure Form Recognizer
Automate workflows across Operations, Finance & Risk
Integrate GenAI services (ChatGPT Enterprise, Custom GPTs, Azure OpenAI, Copilot Studio)

AI & Machine Learning

Develop ML and GenAI-powered models for prediction, classification, summarization, and document generation
Apply best practices in feature engineering, evaluation, and retraining
Implement LLM use cases, including prompt engineering and fine-tuning

AI Governance & Compliance

Collaborate with IT, Legal, DPO & Compliance to define AI governance frameworks
Establish AI/ML policies, risk assessments, audit trails, and usage guidelines
Monitor AI usage in line with DORA, GDPR, and regulatory controls

Secure AI Infrastructure

Contribute to secure and scalable AI platforms
Support sandboxed environments, isolated runtimes, and controlled data access
Enable AI tools within the Microsoft ecosystem (Azure AI, Power Platform, M365 Copilot)

Collaboration & Enablement

Act as a trusted AI SME for business teams
Translate business needs into automation and data-driven solutions
Coach teams on responsible and effective GenAI adoption

Documentation & Reusability

Maintain structured documentation for models, automations, and governance assets
Use Git-based version control to ensure reproducibility and reuse

👤 Who They’re Looking For

A proactive, curious, and open-minded professional who thrives in a fast-changing, complex environment. Someone who questions the how and why, thinks ahead, and enjoys collaborating across disciplines to achieve shared goals.

✅ Skills & Qualifications (Must-Haves)

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or similar
3+ years experience in Automation, Data Science & Machine Learning
3+ years experience in the banking/financial services domain
Strong hands-on experience with Power Automate (cloud & desktop) and IDP (AI Builder or similar)
Practical experience with GenAI & prompt engineering (OpenAI / Azure OpenAI)
Experience using ChatGPT Enterprise and building Custom GPTs
Strong Python & SQL skills
Familiarity with AI governance, risk frameworks, and compliance documentation