20 beste vacatures voor de functie van scientist, large libraries in vrije universiteit amsterdam (nieuwe medewerkers gezocht)

Data Scientist
Kaizo —Amsterdam Centrum
- Fulltime
- Hybride werken
- Master
- SQL
- Analytisch vermogen
- Flexibele werkuren
Snel solliciteren
Postdoc myelin imaging
Koninklijke Nederlandse Akademie van Wetenschappen —Amsterdam
- € 3.706 - € 5.760 per maand
- Fulltime
- Doctor
- Engels
- Onderzoek
- Reiskostenvergoeding
13 uur
Data Scientist (ML & Statistical Modelling)
Pacmed —Amsterdam Centrum
- Fulltime
- Hybride werken
- Informatica
- Azure
- Engels
- Telefoonplan
Informatieanalist
Gemeente Amsterdam —Amsterdam
- € 4.520 - € 6.422 per maand
- Parttime
- Hybride werken
- Azure
- DevOps
- Kantoor
- Reiskostenvergoeding
Associate Director, FCC Models & Product Risk
Airwallex —Amsterdam
- Fulltime
- Doctor
- Salesforce
- Master
Data Scientist Internship
Tesla —Amsterdam-Zuidoost
- Informatica
- SQL
- Analytisch vermogen
Data Scientist
Dentsu —Amsterdam
- Fulltime
- Informatica
- Azure
- Engels
Data Scientist - Machine Learning
Catawiki —Amsterdam
- SQL
- Machinaal leren
- Python
- Verhuisvergoeding
8 dagen
Knowledge Analyst - Energy Solutions
McKinsey & Company —Amsterdam
- Fulltime
- Microsoft Excel
- Engels
- Analytisch vermogen
Forward Deployed AI Scientist, Netherlands - BCG X
Boston Consulting Group —Amsterdam
- Fulltime
- Doctor
- DevOps
- Engels
Data Scientist (Clinical)
Pacmed —Amsterdam Centrum
- Fulltime
- Hybride werken
- Azure
- Engels
- SQL
- Telefoonplan
PhD: AI-assisted discovery of chiral perovskites in nanophotonic environments
AMOLF —Amsterdam Oost
- € 3.115 per maand
- Parttime
- Doctor
- Engels
- Analytisch vermogen
(Recycled) Polymer Research Internship
Veridis —Amsterdam Zuid
- E-mail
- Onderzoek
- Master
- Stage
- Flexibele werkuren
Decision Scientist, Marketing Modelling Intelligence, Marketing DSA
Vinted —Amsterdam
- € 53.900 - € 72.900 per jaar
- Hybride werken
- Engels
- SQL
- Python
- Mentale gezondheidszorgprogramma's
- Budget voor professionele ontwikkeling
Senior Data Scientist - AI Strategy Team
ABN AMRO —Amsterdam
- € 6.066 - € 8.666 per maand
- Azure
- DevOps
- Engels
- Budget voor professionele ontwikkeling
Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Azure
- Doctor
- Engels
Senior Data Scientist (f/m/d)
Moss —Amsterdam
- Fulltime
- Hybride werken
- Microsoft Excel
- Master
- Python
Data Scientist
Universiteit van Amsterdam —Amsterdam
- € 3.708 - € 5.057 per maand
- Parttime
- Master
- Analytisch vermogen
- Organisatorische vaardigheden
- Reiskostenvergoeding
- Werk vanuit huis
Senior Data Scientist
Effectory —Amsterdam Centrum
- € 70.000 - € 100.000 per jaar
- Fulltime
- Hybride werken
- Azure
- DevOps
- Master
- Budget voor professionele ontwikkeling
- Flexibele werkuren
Snel solliciteren
Data Scientist Intern - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Engels
- Master
- Analytisch vermogen

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Data Scientist

Kaizo -
Amsterdam Centrum

Snel solliciteren

Vacaturegegevens

Fulltime

Secundaire arbeidsvoorwaarden

Flexibele werkuren
Bedrijfslaptop

Kwalificaties

Elasticsearch
Kubernetes
NumPy
Google Cloud Platform
MongoDB
Master
SQL
Pandas
Analytisch vermogen
Docker
Kafka
Python

Volledige vacaturetekst

Do you want to work out how you actually measure whether an AI system is doing a good job, and then make it better? We're looking for a sharp, analytical data scientist to own the evaluation and quality loop of our AutoQA product. You can be early in your career (recent graduates with strong LLM fundamentals are welcome), we have room and a clear path for you to grow.

In a nutshell

Join a fast-growing SaaS company in an international environment (steep learning curve guaranteed).
Own a high-impact problem: making LLM-powered quality assurance measurably accurate at scale.
Sit at the intersection of AI and CX, working directly with enterprise customers and their real-world QA rubrics.
Grow into a Senior Data Scientist, AI Engineer, or ML Engineer role. We invest in progression.
Enjoy the perks: flexible hours, open holiday policy, an office in the heart of Amsterdam with hybrid flexibility, visa sponsorship, great gear, workations, and team events.

About Kaizo

At Kaizo, we build a performance development and quality platform for customer support teams. Our AutoQA product uses LLMs to review support conversations against each customer's own quality rubric, automatically and at scale. Behind it sits a microservices-based stream processing platform handling over 200 million events per day (Kafka, Kubernetes on Google Cloud, ElasticSearch, MongoDB, BigQuery), and an LLMOps stack built around LangSmith for experimentation, prompt management, and tracing.

The hard part isn't calling an LLM. It's knowing, with evidence, how well the system performs on every customer's unique rubric, and having a reliable, repeatable way to improve it. That's where you come in.

What you'll focus on

Translate customer rubrics into AutoQA instructions. Work with real customer quality criteria and turn them into precise, testable instructions that LLMs can score reliably.
Run experiments that move accuracy. Design and execute evaluation experiments on large, representative datasets using LangSmith and BigQuery, and track quality with our performance metrics.
Build the datasets that make evaluation possible. Curate raw production data into golden datasets with balanced coverage, and generate synthetic data to cover the rare cases that matter most. QA is a discipline of rare occurrences: distributions are skewed, positives are scarce, and resourcefulness beats volume.
Build LLM-as-a-judge pipelines to assess system quality internally and make evaluation repeatable.
Make results actionable. Your experiments should end in a decision: change a prompt, adjust which tools the system uses, surface context the AI is missing, or flag where new capabilities are needed. You'll work with the AI team to ship those decisions.
Evaluate across the full stack. Beyond scoring quality, you'll help validate retrieval (RAG/IR), tool calling, and speech pipelines (transcription and diarization quality).
Join customer calls with the team to understand how QA leaders define quality, and feed what you learn back into the product.

What you'll grow into

Shaping how customers monitor quality themselves, catch drift, and keep their AutoQA setup improving over time.
Smarter categorization and routing of conversations to power analytics and get the right tickets to the right evaluation.

A solid understanding of how LLMs work and hands-on experience prompting them for accuracy (coursework, thesis, internships, or side projects all count; production experience is a bonus).
Good applied statistics: experiment design, classifier evaluation, precision/recall trade-offs, and working with heavily imbalanced data.
Strong Python skills and fluency with the standard data toolkit (Pandas, NumPy, Jupyter). SQL is a plus.
An analytical, evidence-first mindset: you'd rather measure than assume.
Product sense and empathy for end users. You'll be building for QA managers and support agents, not just for benchmarks.
Excellent written and verbal communication. You'll present findings to the team and join customer conversations.
0 to 2 years of industry experience. Recent graduates with strong relevant work are encouraged to apply.
A team player who's comfortable wearing multiple hats. We're an early-stage company and things move fast.

Bonus points for:

Experience with LangSmith or similar LLMOps/evaluation tooling
Google Cloud Platform, BigQuery, Docker, or Kubernetes
Speech/audio processing or ASR evaluation
Fine-tuning or building synthetic datasets for LLMs

Who you'll work with

You'll join our AI team (two data scientists, an AI engineer, and an ML engineer) and collaborate closely with our data engineers, frontend engineers, designer, product manager, and CX teams. You'll have mentorship from day one and real ownership fast.

What's in it for you?

An office in the heart of Amsterdam, with the flexibility of hybrid working
Visa sponsorship available for eligible candidates
Great office gear: MacBook, tools, desk, chair, whatever you need
Flexible working schedule and an open holiday policy
Fun workations and team events
A clear growth path into Senior Data Scientist, AI Engineer, or ML Engineer roles

Snel solliciteren

Verfijn je zoekopdracht

scientist, large libraries vacatures in vrije universiteit amsterdam

Data Scientist

Postdoc myelin imaging

Data Scientist (ML & Statistical Modelling)

Informatieanalist

Associate Director, FCC Models & Product Risk

Data Scientist Internship

Data Scientist

Data Scientist - Machine Learning

Knowledge Analyst - Energy Solutions

Forward Deployed AI Scientist, Netherlands - BCG X

Data Scientist (Clinical)

PhD: AI-assisted discovery of chiral perovskites in nanophotonic environments

(Recycled) Polymer Research Internship

Decision Scientist, Marketing Modelling Intelligence, Marketing DSA

Senior Data Scientist - AI Strategy Team

Data Scientist - QuantumBlack, AI by McKinsey

Senior Data Scientist (f/m/d)

Data Scientist

Senior Data Scientist

Data Scientist Intern - QuantumBlack, AI by McKinsey

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van scientist, large libraries in vrije universiteit amsterdam

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