The company is seeking a Senior Data Scientist/Engineer for a project focused on Marketing Automation with AI. The role involves improving machine learning models, debugging data chains, and designing data pipelines. You'll work in an agile AI team to prioritize and shape sprints. This is an opportunity to create real business impact with AI models for millions of customers. Enjoy working in a dynamic environment that values teamwork and collaboration. Discover why our team could be the perfect fit for you.

Over het bedrijf

Harvey Nash

Werving en selectie

Volledige vacaturetekst

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)

Gerelateerde zoekopdrachten

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