20 beste vacatures voor de functie van data science in 2324 leiden (nieuwe medewerkers gezocht)

Vacature: GenAI Engineer - Assetization Team - View vacancy
Bekijk bedrijf: Nationale-Nederlanden —Den Haag
- € 4.527 - € 6.036 per maand
- Fulltime
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Robin Radar —Den Haag
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Senior Strategisch Data Analist
Holland Casino —Hoofddorp
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Data Engineer - Oil & Gas
CGI —Randstad
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Qualogy —Rijswijk
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Lefebvre Sdu —Den Haag
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- SQL
- Bachelor
- Python
- Winstdeling
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Business Informatie Analist
CGI —Randstad
- Informatica
- Informatica
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Senior Analytics Engineer
NIBC —Den Haag
- Fulltime
- Azure
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- Master
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Medior Data Engineer – Databricks & Lakehouse Platform (Cloud)
Fugro —Nootdorp
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Senior Business Intelligence Engineer
ASICS —Hoofddorp
- Hybride werken
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Data Engineer
Good Company —Den Haag
- Online sollicitatie
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Stagiair Schiphol
Schiphol —Schiphol
- € 400 - € 450 per maand
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7 dagen
VIE _ Consultant Digitalisation & Automatisation Finance / Tax (H/F)_Pays-Bas
TotalEnergies —Den Haag
- Microsoft Excel
Data Engineer - Verzekeringen & Pensioenen
CGI —Randstad
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Senior AI Engineer
DevOn —Delft
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Deep Learning Engineer
Robin Radar —Den Haag
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16 uur

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Vacature: GenAI Engineer - Assetization Team - View vacancy

Bekijk bedrijf: Nationale-Nederlanden -
Den Haag

Nu solliciteren

Vacaturegegevens

Fulltime
€ 4.527 - € 6.036 per maand

Kwalificaties

CI/CD
Azure
Informatica
Kubernetes
DevOps
Engineering
Git
Master
Docker
Bachelor
Terraform
Continuous integration
Schoonmaakervaring
APIs
Veiligheid
Schaalbaarheid
Gegevensverzameling
Zakelijke vereisten
AI
Communicatieve vaardigheden
Python
Workday

Volledige vacaturetekst

Are you excited about building impactful AI solutions using the latest technologies and tools? Join the Asset Reuse Team (ART) within the AI Center of Excellence at Nationale Nederlanden (NN), where we build, maintain, and scale reusable AI assets, collaborate across business units, and drive strategic innovation. As a GenAI Engineer in ART, you will work in a cross-functional squad to deliver high-quality, production-ready AI components that power the NN AI asset marketplace and enhance customer services and operational efficiency.

What you are going to do

You will be responsible for designing, building, and maintaining reusable AI components and solutions that address real business challenges across NN. Your work will span from requirement definition to production deployment, ensuring scalability, security, and performance. You will collaborate closely with the ART product manager, tech lead, GenAI engineers, and business stakeholders to translate needs into robust, reusable AI assets.

Key responsibilities include:

Develop scalable AI applications using agentic frameworks (e.g., Langchain, Lang graph)
Bring AI models to production in the form of APIs and integrate them into the NN landscape
Collaborate with Data Scientists and Engineers to define the AI Asset Lifecycle
Set standards on CI/CD, testing, monitoring, and security compliance
Enhance platform performance through latency optimization and caching strategies
Support the team by promoting best practices, conducting code reviews, and maintaining documentation
Translate business requirements into AI solutions and present them to stakeholders
Continuously contribute to innovation initiatives and explore new technologies

What we offer you
NN invests in an inclusive, inspiring work environment and in skills and competences for the future. We match this with employee benefits that are in line with what is needed today and in the future. This way, we offer our employees the opportunity to get the best out of themselves. We offer you:

Salary between €4,527 and €6,036 based on 36 hours per week, depending on your knowledge and experience
13th month and holiday allowance are paid with your monthly salary
27 vacation days for a 5-day working week and 3 Diversity Days
A modern pension administered by BeFrank
Plenty of training and learning opportunities
NS Business Card 2nd class, which gives you unlimited travel, also privately. Do you prefer to travel with your own transport? Then you can declare the kilometers travelled
Allowances for setting up your home office and for internet use

Who you are

You are a versatile engineer with a strong background in software, DevOps and AI development. You thrive in a dynamic environment and enjoy sharing knowledge with others. Your curiosity and communication skills help you grow and support your team.

You bring the following qualifications and experience:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
2-5 years of experience in software or DevOps engineering and developing ML applications
Strong experience in Python, FastAPI, and asynchronous development
Experience with CI/CD, application security, and performance monitoring
Working knowledge of the data science process including data collection, cleaning, and model implementation
Experience with agentic frameworks for LLMs (Langchain & Langgraph)
Hands-on experience with Azure Cloud, Docker, and Kubernetes
Experience in developing automated APIs and cloud solutions using CI/CD tools, Git, and Terraform
Proven ability to independently deliver complex AI end-to-end solutions with direct business impact
You currently reside in the Netherlands

Who you will work with

You will be part of the Asset Reuse Team (ART) within the AI Center of Excellence, collaborating with Product Managers, Tech Leads, Data Scientists, and GenAI Engineers. You will also engage with business unit teams and guilds to share knowledge and ensure scalable deployment and reuse of AI assets. You will work closely with operational teams to ensure your solutions are adopted and deliver measurable impact across NN.

Any questions?

Any questions about the process can be directed to Liselotte van der Zeeuw, Talent Acquisition Specialist via email at [email protected].

Stel je vraag aan Liselotte van der Zeeuw

Bij NN geloven we dat onze verschillen ons sterker maken.

We verwelkomen talent in alle vormen en waarderen de unieke ervaringen, achtergronden, perspectieven en kwaliteiten die iedereen meebrengt. Daarom bouwen we aan een inclusieve werkomgeving waarin iedereen zich welkom, gewaardeerd en vrij voelt om zichzelf te zijn.

Twijfel je of je aan alle functie-eisen voldoet? Laat dat je niet tegenhouden om te solliciteren. We zijn niet alleen geïnteresseerd in je ervaring, maar ook in je motivatie, je potentieel en de impact die je wilt maken.

Be yourself. You belong at NN.

Ben je net zo enthousiast?

Je wordt doorgestuurd naar NN's recruitment systeem, Workday, waar je kunt solliciteren en jouw sollicitatie kunt beheren.

Kan ik je ergens mee helpen?

Liselotte van der Zeeuw

Recruiter

Send email to Liselotte van der Zeeuw

Wat gebeurt er na je sollicitatie?

1 Je solliciteert

Jouw CV en motivatie worden door de Talent Acquisition Specialist en manager bekeken. Je ontvangt een reactie binnen twee weken.

2 Interview(s) en online assessment

We streven ernaar binnen een week het eerste gesprek in te plannen. Voorafgaand aan je tweede gesprek vragen we je een online assessment te maken.

3 Aanbod

Zijn we een match? Dan ontvang je van ons direct een aanbieding. De Talent Acquisition Specialist loopt samen met jou het aanbod door.

4 Welkom bij NN

Aanbieding geaccepteerd? Gefeliciteerd! Om alles ook administratief goed te regelen starten we de pre-employment screening en sturen we jouw arbeidsovereenkomst toe.

Nu solliciteren

Verfijn je zoekopdracht

data science vacatures in 2324 leiden

Vacature: GenAI Engineer - Assetization Team - View vacancy

AI Expert

Deep Learning Engineer (Radar Computer Vision)

Senior data engineer

Senior IT Business Analyst – CRM

Senior Strategisch Data Analist

Data Engineer - Oil & Gas

Senior Business Analyst

Senior Data Engineer / Data Architect

Business Informatie Analist

Senior Analytics Engineer

Medior Data Engineer – Databricks & Lakehouse Platform (Cloud)

Senior Business Intelligence Engineer

Data Engineer

Stagiair Schiphol

VIE _ Consultant Digitalisation & Automatisation Finance / Tax (H/F)_Pays-Bas

Data Engineer - Verzekeringen & Pensioenen

Senior AI Engineer

Senior Databricks & AI Platform Engineer

Deep Learning Engineer