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Open nowPosted 2 days ago

Data Scientist

EURES job mobility portal552,729 open roles

Where
Groot-Amsterdam, Netherlands
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Your applicationOpen nowData ScientistEURES job mobility portal · Groot-Amsterdam, 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.

9.8% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 6 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.6%14 days
  5. 33.9%30 days
This job: posted 2 days ago

EURES job mobility portal median: 6 days open

The posting

IT & software ERP & applicaties Beheer & support Power BI dashboard laten bouwen €65 per uur, excl. btw Data Scientist Functieomschrijving Ben jij klaar om data tot leven te brengen? Bij Nationale-Nederlanden zoeken we een Data Scientist die onze complexe verzekeringsvraagstukken aanpakt met intelligente datamodellen. In Amsterdam ga je aan de slag met real-world problemen waarin statistiek, machine learning en zakelijke inzicht samenkomen. Wat ga je doen? - Datamodellen bouwen die klanten- en bedrijfsproblemen oplossen - Grote datasets analyseren en patronen ontdekken die impact hebben - Resultaten vertalen naar inzichten die beslissingen informeren - Samenwerken met IT, bedrijfsvoering en andere teams - Prototypes en productiemodellen ontwikkelen en monitoren Wat breng je mee? - Sterke achtergrond in statistiek, wiskunde of informatica - Hands-on ervaring met Python, R of vergelijkbare tools - Begrip van machine learning en data engineering - Vermogen om technische concepten helder uit te leggen - Gecombineerde liefde voor data ánd business impact Wat bieden wij? - Werken aan veelzijdige uitdagingen binnen financiële diensten - Groeimogelijkheden in een dynamische omgeving - Samenwerking met gelijkgestemde professionals - Flexibiliteit en ruimte voor innovatie - Locatie in Amsterdam met goed bereikbare kantoor Interesse? Laat ons weten hoe jij als Data Scientist waarde creëert! Locatie Amsterdam Startdatum 9 October 2026 Salaris €0.00 per uur Status Open Interesse? Solliciteer met je consultant-profiel. De opdrachtgever neemt zelf contact met je op.

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What happens when you press

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

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

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

  4. Every reply, sorted

    EURES job mobility portal's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    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

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

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What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

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