20 beste vacatures voor de functie van data in beverwijk (nieuwe medewerkers gezocht)

Data Scientist
Kaizo —Amsterdam Centrum
- Fulltime
- Hybride werken
- Master
- SQL
- Analytisch vermogen
- Flexibele werkuren
Snel solliciteren
Data Scientist (Clinical)
Pacmed —Amsterdam Centrum
- Fulltime
- Hybride werken
- Azure
- Engels
- SQL
- Telefoonplan
Data Analyst Consultant
Orange Business —Amsterdam
- Azure
- Engineering
- Data-analyse
- Reiskostenvergoeding
Data Analyst
LYNX Amsterdam —Amsterdam Centrum
- SQL
- Analytisch vermogen
- Continue verbetering
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
(Junior) Data Science Consultant – Marketing Analytics
Objective Platform —Amsterdam
- Fulltime
- Hybride werken
- Engels
- SQL
- Python
- Budget voor professionele ontwikkeling
Data Analist
Ebicus —Haarlem
- Vanaf € 3.700 per maand
- Oracle
- Data-analyse
- SQL
Data Analyst Consultant
MasORange —Amsterdam
- Fulltime
- Azure
- Engineering
- Data-analyse
- Reiskostenvergoeding
Data Scientist
de Bijenkorf —Amsterdam
- € 3.943 - € 5.632 per maand
- Fulltime
- Master
- SQL
- Python
- Productkorting werknemers
- Winstdeling
Business Data Analist
Verdi Groep —Halfweg
- Tot € 6.000 per maand
- Fulltime
- Hybride werken
- Data-analyse
- Analytisch vermogen
- Bachelor
Snel solliciteren
Junior Data Scientist GenAI
Data Science Lab. —Amsterdam
- Fulltime
- Master
- AI
- Python
- Reiskostenvergoeding
Data Analist
Budget Thuis —Amsterdam Centrum
- € 4.100 - € 6.360 per maand
- Fulltime
- Hybride werken
- Data-analyse
- Engels
- SQL
- Reiskostenvergoeding
Snel solliciteren
Data Consultant
Good Company —Haarlem
- € 50.000 - € 75.000 per jaar
- Online sollicitatie
- Microsoft Excel
- Data-analyse
- Engels
- Flexibele werkuren
Head of Data
TBAuctions —Amsterdam Nieuw-West
- € 90.000 - € 110.000 per jaar
- Hybride werken
- Azure
- DevOps
- ERP systemen
Medewerker Data & Administratie (Tijdelijk)
Bonarius Bedrijven —Zwanenburg
- € 3.350 - € 4.491 per maand
- Fulltime
- Microsoft Excel
- ERP systemen
- Analytisch vermogen
- Reiskostenvergoeding
Snel solliciteren
Data Analyst (Fulltime – 36 uur)
Hearst Netherlands —Amsterdam
- € 32 per maand
- E-mail
- Hybride werken
- Engels
- Analytisch vermogen
- Communicatieve vaardigheden
- Reiskostenvergoeding
- Telefoonplan
5 dagen
Data scientist
Gemeente Amsterdam —Amsterdam
- € 5.369 - € 7.253 per maand
- Fulltime
- Hybride werken
- Engineering
- Kantoor
- SQL
- Reiskostenvergoeding
9 dagen
Medior Data Scientist GenAI
Data Science Lab. —Amsterdam
- € 3.600 - € 6.500 per maand
- Fulltime
- Master
- AI
- Python
- Reiskostenvergoeding
Data Scientist - Machine Learning
Catawiki —Amsterdam
- SQL
- Machinaal leren
- Python
- Verhuisvergoeding
9 dagen
Data Scientist
Dentsu —Amsterdam
- Fulltime
- Informatica
- Azure
- Engels
Data Scientist Total Video
DPG Media —Amsterdam
- € 3.500 - € 7.000 per maand
- Fulltime
- Hybride werken
- Analytisch vermogen
- Bachelor
- Machinaal leren
- Winstdeling
- Budget voor professionele ontwikkeling
4 dagen

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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

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(Junior) Data Science Consultant – Marketing Analytics

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Data Analyst Consultant

Data Scientist

Business Data Analist

Junior Data Scientist GenAI

Data Analist

Data Consultant

Head of Data

Medewerker Data & Administratie (Tijdelijk)

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Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data in beverwijk

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In a nutshell

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