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Senior AI Data Scientist
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Finance
Business Support
Senior AI Data Scientist
12-10-2026
5.994 - 8.563
Senior
Utrecht
As a Senior AI Data Scientist at Rabobank, you design, evaluate and deploy GenAI/ML solutions for Business Lending-document intelligence, RAG, decision support and underwriting-driving model quality, MLOps, technical standards and hands-on technical leadership.
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Senior AI Data Scientist
Role purpose: Lead the design, development, and deployment of AI/ML solutions that drive measurable business impact through advanced analytics, experimentation, and production-grade modeling. Core responsibilities - Develop, validate, and deploy machine learning and generative AI models for prediction, classification, recommendation, and optimization use cases. - Translate business problems into data science solutions, defining success metrics, evaluation frameworks, and experiment designs. - Build scalable data pipelines and feature engineering workflows in collaboration with data engineering and platform teams. - Operationalize models using MLOps best practices (monitoring, drift detection, CI/CD, versioning, reproducibility). - Perform deep-dive analysis, communicate insights to stakeholders, and influence product and strategy decisions. - Mentor junior data scientists and contribute to standards, documentation, and model governance. Required skills and qualifications - Machine learning: supervised/unsupervised learning, model evaluation, bias/variance tradeoffs, and statistical inference. - Programming: Python (preferred) and common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow). - Data: SQL, data modeling, feature engineering, and working with large-scale datasets. - MLOps: deployment patterns, model monitoring, and lifecycle management in cloud or containerized environments. - Communication: ability to explain complex methods and results to technical and non-technical audiences.
Want to use Generative AI ...
Business Support
Senior AI Data Scientist
12-10-2026
5.994 - 8.563
Senior
Utrecht
As a Senior AI Data Scientist at Rabobank, you design, evaluate and deploy GenAI/ML solutions for Business Lending-document intelligence, RAG, decision support and underwriting-driving model quality, MLOps, technical standards and hands-on technical leadership.
Apply directly Contact us
Senior AI Data Scientist
Role purpose: Lead the design, development, and deployment of AI/ML solutions that drive measurable business impact through advanced analytics, experimentation, and production-grade modeling. Core responsibilities - Develop, validate, and deploy machine learning and generative AI models for prediction, classification, recommendation, and optimization use cases. - Translate business problems into data science solutions, defining success metrics, evaluation frameworks, and experiment designs. - Build scalable data pipelines and feature engineering workflows in collaboration with data engineering and platform teams. - Operationalize models using MLOps best practices (monitoring, drift detection, CI/CD, versioning, reproducibility). - Perform deep-dive analysis, communicate insights to stakeholders, and influence product and strategy decisions. - Mentor junior data scientists and contribute to standards, documentation, and model governance. Required skills and qualifications - Machine learning: supervised/unsupervised learning, model evaluation, bias/variance tradeoffs, and statistical inference. - Programming: Python (preferred) and common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow). - Data: SQL, data modeling, feature engineering, and working with large-scale datasets. - MLOps: deployment patterns, model monitoring, and lifecycle management in cloud or containerized environments. - Communication: ability to explain complex methods and results to technical and non-technical audiences.
Want to use Generative AI ...