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Open nowPosted 28 days ago

Medior Data Scientist / Machine Learning Engineer

EURES job mobility portal314,718 open roles

Where
Groot-Rijnmond, Netherlands
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Your applicationOpen nowMedior Data Scientist / Machine Learning EngineerEURES job mobility portal · Groot-Rijnmond, Netherlands

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  2. CV RocketCV written for this posting.

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

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

The reply lands in your private mailbox

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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. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 28 days ago

The posting

Finance Business Support Medior Data Scientist / Machine Learning Engineer 04-09-2026 Min. 5.200 Medior Rotterdam As a Medior Data Scientist / Machine Learning Engineer at Allianz Direct bouw, deploy en monitor je end-to-end ML-oplossingen voor pricing, claims, contactcenter en operations, en ontwikkel je mee aan het ML-platform op Databricks/AzureML. Apply directly Contact us Medior Data Scientist / Machine Learning Engineer Role purpose: Design, build, and deploy machine learning solutions that turn data into measurable product and business impact, partnering with engineering and stakeholders to deliver reliable, scalable models. Core responsibilities - Develop end-to-end ML pipelines: data preparation, feature engineering, model training, evaluation, and deployment. - Translate business problems into ML use cases, define success metrics, and validate outcomes. - Implement and maintain production-grade models (batch and/or real-time) with monitoring, retraining, and performance tracking. - Collaborate with data engineers and software engineers to ensure robust data flows, APIs, and system integration. - Conduct experiments, A/B tests, and error analysis; document findings and recommend improvements. - Ensure model quality, reproducibility, and compliance with data governance and privacy requirements. Required skills - Strong foundation in statistics, machine learning, and model evaluation. - Proficiency in Python and common ML libraries (e.g., scikit-learn, PyTorch or TensorFlow). - Experience with SQL and working with structured and unstructured data. - Knowledge of MLOps practices: versioning, CI/CD, monitoring, and containerization (e.g., Docker). - Ability to communicate technical concepts clearly to non-technical stakeholders. - Experience deploying models to cloud or scalable environments is a plus. Seniority: Medior level, expected to work independently on well-scoped projects and contribute to team stand...

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