Finance
Business Support
Data Scientist - Commercial Analytics & Agentic AI
30-09-2026
6.378 - 8.504
Senior
Den Haag
Als Data Scientist - Commercial Analytics & Agentic AI bij NN vertaal je complexe commerciële data naar voorspellende inzichten, schaalbare analytics en agentic AI-use cases, en operationaliseer je dit in DAP en Salesforce voor betere salessturing.
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Data Scientist - Commercial Analytics & Agentic AI
Role purpose: Build and deploy data-driven commercial analytics and agentic AI solutions that improve revenue performance, customer outcomes, and decision-making across sales, marketing, and pricing. Core responsibilities - Develop predictive and prescriptive models (e.g., propensity, churn, demand, pricing, segmentation) to support commercial strategy. - Design, prototype, and operationalize agentic AI workflows (tool-using LLM agents, orchestration, evaluation) for commercial use cases. - Translate business problems into measurable hypotheses, experiments, KPIs, and model success criteria. - Build robust data pipelines and feature engineering processes; ensure data quality and lineage. - Deploy models to production (APIs, batch scoring, dashboards) and monitor performance, drift, and business impact. - Partner with stakeholders to communicate insights, recommendations, and tradeoffs to technical and non-technical audiences. - Apply responsible AI practices: privacy, security, bias testing, and governance. Required skills - Analytics & modeling: statistical inference, experimentation, forecasting, ML (classification, regression, clustering), and model evaluation. - Programming: Python (pandas, scikit-learn) and SQL; experience with notebooks and version control. - LLMs & agents: prompt engineering, retrieval-augmented generation, agent frameworks, and automated evaluation. - Data & production: ETL/ELT, data warehouses/lakes, MLOps, CI/CD, monitoring. - B...