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# Senior Machine Learning Engineer / Data Scientist | Financiële Sector

- **Company:** Veneficus - Factual decision making
- **Location:** Netherlands (Remote available)
- **Experience:** Expert
- **Salary:** €667.0 - €833.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Continuous Integration, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Git, Kubernetes, Information Technology, Docker, Databricks
- **Published:** August 17, 2026
- **Apply:** https://veneficus.nl/vacatures/18/data-scientist#element-target-460

## About the Role

Jij bent een hybride professional: sterk in data science, maar met een solide engineering mindset.

 * Ervaring: Minimaal 3-5 jaar ervaring als Data Scientist / ML Engineer
 * Engineering skills: Sterk in Python, SQL en data pipeline development
 * Cloud: Ervaring met Azure (of AWS/GCP) en Databricks, Kubernetes & Docker
 * ML & Stats: Kennis van machine learning, statistiek en modellering
 * Software Engineering: Ervaring met Git, CI/CD, APIs en productie-omgevingen
 * Opleiding: WO (bijv. Data Science, A.I., Econometrie, Informatica)
 * Taal: Vloeiend Nederlands (C1/C2)
 * Domeinkennis: Ervaring of interesse in finance (banken, verzekeraars, pensioenen)
 * Mindset: Analytisch, ondernemend en impactgericht

## Description

Als Senior Data Scientist werk je op het snijvlak van data engineering, machine learning en business impact. Je bouwt niet alleen modellen, maar zorgt ook dat ze schaalbaar, betrouwbaar en production-ready zijn.

* Fraudedetectie: ontwikkelen van real-time detectiemodellen op streaming data
 * Risk & compliance: bouwen van dataplatformen voor kredietrisico en regelgeving (bijv. IFRS9, Basel)
 * Customer analytics: voorspellen van klantgedrag, churn en lifetime value
 * Pricing & underwriting: datagedreven besluitvorming binnen verzekeringen
 * Pensioenoptimalisatie: modelleren van scenario's en risico's binnen lange termijn portefeuilles
 * Data platforming: opzetten van robuuste pipelines voor ML en analytics

Je werkt in moderne cloud-omgevingen waar data-oplossingen direct invloed hebben op miljoenen klanten en miljardenstromen.

Data Engineering (core focus)

 * Ontwerpen en bouwen van schaalbare data pipelines (batch & streaming)
 * Werken met moderne data stacks zoals Databricks, Spark, Airflow en Delta Lake
 * Integreren van verschillende databronnen (API's, databases, event streams)

Advanced Analytics & Machine Learning

 * Ontwikkelen en implementeren van voorspellende modellen
 * Operationaliseren van ML-modellen (MLOps, CI/CD, monitoring)
 * Werken met grote datasets in productieomgevingen

Architectuur & Innovatie

 * Meedenken over data platform architecturen en governance
 * Verbeteren van data quality, lineage en betrouwbaarheid
 * Introduceren van nieuwe technieken en best practices

Coaching & Leadership

 * Begeleiden van data professionals binnen teams
 * Stimuleren van engineering best practices (Git, testing, CI/CD)
 * Sparringpartner voor stakeholders en management


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