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Open nowPosted 16 hours ago

Senior Machine Learning Engineer / Data Scientist

EURES job mobility portal298,592 open roles

Where
Groot-Rijnmond, Netherlands
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Your applicationOpen nowSenior Machine Learning Engineer / Data ScientistEURES job mobility portal · Groot-Rijnmond, Netherlands

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EURES job mobility portal's own form.

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 16 hours ago

The posting

Senior Machine Learning Engineer / Data Scientist | Financiële Sector ICT vacature bij Veneficus in Rotterdam. Beschrijving Vacaturebeschrijving Senior Machine Learning Engineer / Data Scientist | Financiële Sector Focusgebied: Engineering & Advanced Analytics De perfecte combinatie: Impact, Innovatie én Stabiliteit Wil jij werken aan complexe datavraagstukken binnen de financiële sector, met de vrijheid om te innoveren én de zekerheid van een vast contract? Bij VF Professionals bouwen we aan een community van Senior Data Scientists die zich specialiseren in domeinen zoals pensioenen, verzekeringen en bancaire dienstverlening. Binnen onze financiële community werk je voor toonaangevende organisaties en draag je direct bij aan datagedreven besluitvorming, risicobeheersing en klantoptimalisatie. Hier krijg je de ruimte om te bouwen, te experimenteren en impact te maken, met de backing van een sterk netwerk en een solide werkgever. Jouw eerste project: De financiële wereld van morgen De financiële sector is volop in beweging: strengere regelgeving, digitalisering, toenemende fraude, en de noodzaak tot real-time inzichten. Data speelt hierin een sleutelrol. 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. Voorbeelden van concrete uitdagingen: - 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...

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