Senior Data Scientist

Description

As a Senior Data Scientist at Monks, you’ll help shape and deliver cutting-edge data solutions that power intelligent, personalised experiences for some of the world’s most influential brands. You’ll lead the design, development, and deployment of Machine Learning (ML) and Generative AI (GenAI) solutions that deliver measurable business impact, from predictive audience modelling to agentic automation systems, connecting data, intelligence, and action. You’ll work across the full data lifecycle, from ingestion and transformation to model orchestration and real-time activation, building the foundations that enable adaptive, insight-driven experiences at scale

You will partner with UX leads, data scientists and creative technologists, bridging the gap between data engineering, applied machine learning, and emerging agentic workflows. You’ll define and enforce standards that ensure that data, models, and automation pipelines are scalable, resilient, and fully governed at runtime. You’ll shape the technical architecture for AI-driven systems that can reason, act, and learn autonomously across complex digital environments, connecting real-time data, contextual intelligence, and orchestration layers to deliver faster, more adaptive, and continuously improving customer experiences.

You bring a solid foundation in modern cloud ecosystems (GCP, AWS, or Azure), data warehousing (BigQuery, Snowflake, etc.), and advanced ETL/ELT orchestration. Your deep understanding of machine learning and automation frameworks enables you to architect and operationalize predictive models, recommender systems, and agent-assisted optimization workflows.

This Netherlands-based role supports our Interactive team in delivering data-driven innovation for a major Dutch client. You’ll work in a fast-paced, collaborative environment at the forefront of AI, automation, and digital experience design, where your technical expertise helps connect data, creativity, and performance.

If you’re passionate about engineering intelligence from data and advancing autonomous, adaptive systems, we’d love to meet you.

 

Responsibilities

• Lead the design, development, and deployment of advanced Machine Learning (ML) and Generative AI (GenAI) models on cloud platforms such as GCP and AWS, ensuring they are scalable, resilient, and compliant with enterprise standards.

• Architect and implement predictive frameworks, including propensity, churn, and recommendation models, translating analytical results into measurable business impact.
• Design and operationalise GenAI architectures using APIs (e.g., OpenAI, Gemini, Anthropic) and frameworks like LangChain or LlamaIndex, integrating them into production-grade workflows.
• Define data science standards and modelling pipelines, including feature engineering, data versioning, and reproducibility practices using tools such as dbt and Dataform.
• Oversee data integration and transformation workflows, automating ingestion and orchestration across APIs, cloud services, and real-time data pipelines. 
• Establish MLOps best practices for continuous delivery, monitoring, and retraining of models in production environments.
• Ensure governance, observability, and documentation across all machine learning assets, adhering to internal standards for reproducibility, ethics, and security.
• Design and evaluate experimental frameworks (A/B, multivariate, or causal) to measure model impact, validate hypotheses, and translate insights into actionable optimization strategies.
• Inspire and guide data engineers, UX strategists, and creative technologists in translating data and AI into intelligent, human-centered digital experiences.