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Open nowPosted 45 hours ago

Senior Data Scientist

EURES job mobility portal314,718 open roles

Where
Utrecht, Netherlands
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Your applicationOpen nowSenior Data ScientistEURES job mobility portal · Utrecht, Netherlands

  1. YouYes, apply to this one.

  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. 1.6%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 45 hours ago

The posting

Finance Business Support Senior Data Scientist 30-07-2026 Marktconform Medior, Senior Utrecht Als Senior Data Scientist bij Capgemini creëer je klantwaarde uit data door patronen te ontdekken, hypotheses te testen en end-to-end oplossingen te bouwen, afgestemd op stakeholders. Direct solliciteren Neem contact op Senior Data Scientist Role purpose: Lead the design, development, and deployment of data-driven solutions that improve decision-making, product performance, and business outcomes through advanced analytics and machine learning. Core responsibilities - Build, validate, and deploy predictive and prescriptive models using statistical and machine learning techniques. - Translate business problems into measurable analytical objectives, experiment designs, and success metrics. - Develop scalable data pipelines and feature engineering workflows in collaboration with data engineering. - Perform exploratory data analysis, data quality assessment, and root-cause investigations. - Communicate insights and model results to technical and non-technical stakeholders using clear narratives and visualizations. - Monitor model performance, manage drift, and iterate using A/B testing and continuous improvement practices. - Mentor junior team members and contribute to best practices for reproducible, well-documented analytics. Required skills and qualifications - Strong proficiency in Python or R , including common ML and data libraries. - Expertise in statistics , machine learning , and model evaluation. - Advanced SQL skills and experience working with large-scale datasets and data warehouses. - Experience with experimentation, causal inference, and KPI-driven analysis. - Ability to productionize models and collaborate on MLOps practices (e.g., CI/CD, monitoring). - Excellent stakeholder management, problem framing, and written/verbal communication. Jouw mogelijkheden als Data Scientist bij Capgemini Als Data Scientist bi...

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