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Data Scientist


Financial Services

Latest Job

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ABOUT THIS ROLE

  • / Utrecht, Netherlands (Hybrid)
  • / Contract
  • / Circa 80 EUR/hr
REF: 4373548803

Job Title: Medior Data Scientist

Location: Utrecht/ Hybrid (one day per week in office)

Contract Type: Contract (Payroll) – 12 months + extensions

Rate: Circa 80 EUR/hr

Start Date: ASAP

Orbis have partnered with a leading Dutch financial institution investing heavily in ML-driven innovation. They are seeking a Medior Data Scientist with strong engineering capabilities to develop, deploy, and maintain production-grade machine learning models.

You will work across the full ML lifecycle, from data exploration and feature engineering to deployment and monitoring, delivering scalable, reliable solutions within a collaborative, DevOps-driven environment.

Key Tech:

  • Machine Learning & Modelling: Tree-based models, clustering models, statistical modelling
  • Programming & Engineering: Python, PySpark, production-ready coding practices
  • Data & Platforms: Databricks, ETL pipelines, data lakes, databases
  • Cloud & DevOps: Azure (preferred), Git, CI/CD pipelines, MLOps practices

Nice to have:

  • Banking domain knowledge
  • Experience with Kedro
  • Experience tuning and monitoring ML models in production environments

This role is ideal for Data Scientists who enjoy taking ownership of models end-to-end, thrive in collaborative environments, and are motivated by building scalable ML solutions that move from prototype to production in an enterprise setting.

If interested, please apply or reach out directly at ashwin@weareorbis.com

At Orbis Group, we are committed to creating an inclusive and diverse workplace. Research indicates that candidates, especially from underrepresented backgrounds, often hesitate to apply for jobs if they don't meet every qualification.

If you're excited about a role but don't perfectly align with every requirement, we encourage you to apply. Your unique skills and experiences may be the perfect fit for the job or other opportunities that arise.

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