Sr Data Scientist / Engineer *32216, Amsterdam

Voor KPN is Harvey Nash op zoek naar een Sr Data Scientist / Engineer

Startdatum: 29-09-2025

Einddatum: 01-04-2026

Locatie: Amsterdam (Dinsdag en donderdag op kantoor)

Aantal uur: 32-40uur per week

Project scope
Marketing Automation with AI for KPN consumer market. We enhance commercial personalization for millions of KPN customers using our contextual re-inforcement learning solution selecting the Next Best Action.

Goal of assignment

• run and improve existing machine learning model (MLOps)
• lead debugging of complex data value chain, design robust data pipeline for our evaluation metric
• help coordinate business requirements, prepare insights and backlog for business and IT stakeholders
• working together in agile AI team (analyst, product owner, MLE)
• help prioritize and shape agile sprints according to personalization roadmap and vision
• understand and improve our Marketing Personalisation Ecosystem

Requirements

• A Master's degree in Computer Science, Data Science, AI, Econometrics, Mathematics, Engineering or a related technical field
• Strong conceptual skills: being able to oversee and debug complex data value chains within marketing IT ecosystem
• Proven track record of operationalizing AI solutions that generate business value with a minimum of 8 years of experience in a complex corporate environment; preferably marketing automation or campaigning
• Highly experienced with SQL, Python and advanced machine learning models. Preferred experience with Dataiku DSS, Adobe AEP, Polars
• Emphasizing a strong sense of ownership, showcasing collaboration skills with a focus on teamwork and stakeholder engagement
• Excellent communication skills, fluency in English, with a preference for understanding or speaking Dutch

Results

• create proven business impact using AI models for Omnichannel Personalizations
• deliver new personalization solutions according to personalization roadmap and vision

Goal of department

• design, develop and operate AI solutions that make tangible business impact for the KPN consumer market department
• department consists of Analytical Translators, Data scientists and Machine Learning Engineers (~10 FTE)