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)