17 beste vacatures voor de functie van data scientist in kort haarlem (nieuwe medewerkers gezocht)

Lead Dev/Systems Engineer
SWIFT Financial Messaging Services —Leiden
- Fulltime
- Informatica
- Master
- Bachelor
Data Engineer
Verpact —Leidschenveen
- € 55.000 - € 65.000 per jaar
- Online sollicitatie
- Hybride werken
- Azure
- DevOps
- SQL
- Reiskostenvergoeding
Data & AI Traineeship
Veneficus B.V. —Rotterdam
- € 2.700 - € 3.300 per maand
- Fulltime
- Hybride werken
- Java
- Master
- Analytisch vermogen
Snel solliciteren
C++/C# Scientific Software Engineer (WO/PhD)
24Beta B.V. —Randstad
- € 3.500 - € 6.500 per maand
- Parttime
- Hybride werken
- Informatica
- Doctor
- Informatica
Snel solliciteren
4 uur
Full-stack Software Engineer
Samotics B.V. —Leiden
- Fulltime
- Hybride werken
- AWS
- Bachelor
- Linux
Snel solliciteren
Senior Machine Learning Engineer / Data Scientist | Financiële Sector
Veneficus B.V. —Rotterdam
- € 3.250 - € 10.000 per maand
- Fulltime
- Hybride werken
- Azure
- Master
- SQL
- Budget voor professionele ontwikkeling
Snel solliciteren
ModelOps Platform engineer
Erasmus MC —Rotterdam
- € 3.724 - € 5.867 per maand
- Online sollicitatie
- Informatica
- Azure
- DevOps
- Reiskostenvergoeding
stage Onderzoek en Ontwikkeling RAG-systeem
Politie —Zoetermeer
- € 725 per maand
- Online sollicitatie
- Hybride werken
- Onderzoek
- Master
- Analytisch vermogen
1 dag
Senior Data Engineer
Good Company —Leiden
- Online sollicitatie
- Azure
- SQL
- AWS
Software Engineer
Itility B.V. —Randstad
- Fulltime
- Hybride werken
- Engels
- Kantoor
- Java
- Reiskostenvergoeding
- Tankpas
Payload Engineer
Team Tumbleweed —Delft
- Engels
- Bachelor
- Stage
Snel solliciteren
Practice Lead Data Science & A.I.
Sopra Steria —Nieuwegein
- € 6.000 - € 8.000 per maand
- Hybride werken
- Management
- Kantoor
- Machinaal leren
- Zorgverzekering
Snel solliciteren
Senior machine learning engineer
Rijkswaterstaat —Delft
- € 4.818 - € 7.094 per maand
- Parttime
Software Developer | Data & AI‑oplossingen
Veneficus B.V. —Rotterdam
- € 3.250 - € 10.000 per maand
- Fulltime
- Hybride werken
- Informatica
- Azure
- Informatica
- Budget voor professionele ontwikkeling
Snel solliciteren
Senior AI Engineer
KPN —Rotterdam
- Tot € 7.800 per maand
- Hybride werken
- Informatica
- Azure
- Oracle
- Reiskostenvergoeding
- Werk vanuit huis
Snel solliciteren
Senior Data Engineer - Telecommunicatie
CGI —Rotterdam
- Azure
- DevOps
- Engineering
- Flexibele werkuren
Snel solliciteren
Senior Databricks & AI Platform Engineer
CGI —Randstad
- Informatica
- Azure
- Engels
Snel solliciteren

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Lead Dev/Systems Engineer

SWIFT Financial Messaging Services -
Leiden

Nu solliciteren

Vacaturegegevens

Fulltime

Kwalificaties

CI/CD
Informatica
Software engineering
Kubernetes
Ansible
Master
Bachelor
Continuous integration
Veiligheid
S3
Swift
Managementervaring
Jenkins
Communicatieve vaardigheden
Python

Volledige vacaturetekst

ABOUT US

We’re the world’s leading provider of secure financial messaging services, headquartered in Belgium. We are the way the world moves value – across borders, through cities and overseas. No other organisation can address the scale, precision, pace and trust that this demands, and we’re proud to support the global economy.

We’re unique too. We were established to find a better way for the global financial community to move value – a reliable, safe and secure approach that the community can trust, completely. We’re always striving to be better and are constantly evolving in an ever-changing landscape, without undermining that trust. Five decades on, our vibrant community reflects the complexity and diversity of the financial ecosystem. We innovate diligently, test exhaustively, then implement fast. In a connected and exciting era, our mission has never been more relevant. Swift now has a presence in 200+ countries and legal territories to serve a community of more than 12,000 banks and financial institutions.

As Senior Technical Lead of the AI & Analytics Ops squad, you will be responsible for driving engineering excellence, ensuring platform security compliance, and guiding the squad’s technical direction for operating AI workloads at scale.

Your mission is to ensure that AI use cases are reliably deployed, monitored, and maintained across their full lifecycle—while applying best engineering practices and adhering to rigorous security standards.

You will work closely with platform teams, data scientists, ML engineers, and the broader AAA tribe.

Key Responsibilities

Engineering & Technical Leadership

Lead technical decisions for the squad’s AI operational workloads (deployment, automation, monitoring, drift detection, retraining pipelines, etc.).
Ensure adherence to modern software engineering best practices (code quality, testing, CI/CD, observability, security-by-design).
Review and guide Python codebases, ensuring maintainability and performance.
Provide mentorship to engineers and support continuous improvement within the squad.

Operational Excellence & Reliability

Oversee the full operational lifecycle of AI models:
- deployment
- monitoring
- performance tracking
- drift detection & alerts
- triggering or coordinating retraining cycles
Guarantee availability and reliability targets for live models.
Participate in the on‑call rotation and drive incident response, mitigation, and RCA improvements.

Security, Risk & Compliance

Ensure that all squad deliverables comply with SWIFT operational and security standards (ACF v6, TOEF, SEP, DOR, etc.).
Enforce secure practices for deployment, secret management, access control, and data handling.
Collaborate with governance, security, and platform teams to align on internal policies and controls.

Automation & Infrastructure Management

Lead the squad’s implementation of automation across the stack:
- Jenkins CloudBees , CDRO , Ansible
- Helm ‑based deployments into OpenShift
- Secret management via Vault
- Storage on S3 Cloudian
- Monitoring via Ansible , dashboards, and operational metrics
Identify opportunities to increase automation maturity (e.g., fully automated retraining, automated drift detection, integration with MLOps frameworks).

Cross‑Squad Collaboration

Work closely with:
- Platform/infrastructure squads (who define the environment strategy)
- Data Science squads (for model lifecycle workflows)
- Governance, Security, Responsible AI, and Architecture teams
Translate tribal OKRs into actionable technical plans for the squad.

Required Skills & Experience

Bachelor’s or Master’s degree in Computer Science , Software Engineering , Information Security , Data Engineering , or a related technical field.

Core Technical Skills

Strong hands-on experience in Python for production‑grade systems.
In‑depth knowledge of Kubernetes/OpenShift and Helm deployment patterns.
Experience with CI/CD pipelines using Jenkins CloudBees and CDRO.
Strong understanding of Ansible for automation & orchestration.
Experience with Vault for secrets management and secure configuration.
Solid understanding of object storage (S3/Cloudian) and file‑based AI workloads.

Security & Compliance

Proven experience applying secure engineering standards in production environments.
Knowledge of operational risk controls, incident processes, and audit/traceability requirements.

AI/ML Lifecycle (Nice to Have but Strongly Appreciated)

Experience working with data science workflows (model training, inference, validation).
Understanding of:
- drift detection
- model retraining triggers
- automated pipelines for ML model lifecycle
Exposure to MLOps principles and production practices.

Leadership & Collaboration

Demonstrated experience providing technical leadership within a squad or engineering team.
Strong communication skills to interact across architecture, data science, security, and Ops layers.
Ability to translate complex technical topics into actionable squad‑level initiatives.

What we offer

We give you the freedom to be yourself. We are creating an environment of unique individuals – like you – with different perspectives on the financial industry and the world. A diverse and inclusive environment in which everyone’s voice counts and where you can reach your full potential.

We are committed to an inclusive and accessible recruitment process. If you require a reasonable accommodation related to accessibility during your application or interview, please contact [email protected] or indicate this in your application.

Please note that this mailbox is not monitored for general recruitment enquiries and should only be used for accessibility or accommodation-related requests (for example related to vision, hearing or neurodiversity).

All requests are confidential and will not affect your candidacy.

Don’t meet every single requirement? At Swift, we are dedicated to building a workplace where people can bring their full selves and ideas to the team, so if you are excited about this role, we encourage you to apply even if you do not meet every single qualification.

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data scientist vacatures in kort haarlem

Lead Dev/Systems Engineer

Data Engineer

Data & AI Traineeship

C++/C# Scientific Software Engineer (WO/PhD)

Full-stack Software Engineer

Senior Machine Learning Engineer / Data Scientist | Financiële Sector

ModelOps Platform engineer

stage Onderzoek en Ontwikkeling RAG-systeem

Senior Data Engineer

Software Engineer

Payload Engineer

Practice Lead Data Science & A.I.

Senior machine learning engineer

Software Developer | Data & AI‑oplossingen

Senior AI Engineer

Senior Data Engineer - Telecommunicatie

Senior Databricks & AI Platform Engineer