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Open nowPosted 3 days ago

Data Scientist

EURES job mobility portal429,674 open roles

Where
Utrecht, Netherlands
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Your applicationOpen nowData 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

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 3 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted 3 days ago

EURES job mobility portal median: 3 days open

The posting

Finance Business Support aicarriere.nl Data Scientist 04-08-2026 Max. 5.900 Medior, Senior Utrecht Als Data Scientist bij Sogeti vertaal je complexe businessvraagstukken naar schaalbare data- en AI-oplossingen, bouw en optimaliseer je modellen, en maak je inzichten actiegericht voor stakeholders. Je draagt bij aan innovatie, standaarden en kennisdeling. Direct solliciteren Neem contact op Data Scientist Role purpose: Apply statistical, machine learning, and analytical methods to transform data into actionable insights that improve products, operations, and business decisions. Core responsibilities - Collect, clean, and validate structured and unstructured data from multiple sources. - Design, build, and evaluate predictive and descriptive models (e.g., classification, regression, clustering, forecasting). - Develop experiments and measurement frameworks (A/B testing, causal inference) to assess impact. - Create dashboards, reports, and clear narratives to communicate findings to technical and non-technical stakeholders. - Collaborate with engineering and product teams to deploy models and analytics into production workflows. - Monitor model performance, manage drift, and iterate on features and algorithms. - Document methodologies, ensure reproducibility, and support data governance and privacy standards. Required skills - Programming: Python or R; SQL for querying and data manipulation. - Analytics: statistics, hypothesis testing, feature engineering, model evaluation. - Machine learning: supervised/unsupervised learning; model tuning and validation. - Data tools: notebooks, version control, and modern data stack concepts (ETL/ELT, warehouses). - Communication: ability to translate complex results into clear recommendations. Success outcomes - Deliver reliable insights and models that measurably improve key metrics. - Enable data-driven decision-making through scalable, well-documented solutions. Word de beste...

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One press. We do the rest.

  1. A CV for this posting

    Written against EURES job mobility portal's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on EURES job mobility portal's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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  5. Reply with AI

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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