Data Scientist / AI Engineer

At WCC, we build high-impact, mission-critical HR tech solutions used by governments and public institutions across the globe to help millions of people find suitable jobs today and prepare for the labor market of tomorrow.

We are looking for a pragmatic Data Scientist / AI Engineer who blends strong analytical skills with solid engineering and architectural capabilities. You will help shape and deliver scalable AI solutions, ranging from classical machine learning to modern LLM-based features, while working closely with cross-functional teams across the organization.

This is a hands-on role for someone who enjoys building, deploying, and owning end-to-end data-driven products.

What you’ll do

Innovate

·       Collaborate closely with Product Management, Sales, Professional Services, and Architects to identify opportunities where Data Science and AI can enhance our products and customer projects.

·       Understand and translate the needs of internal and external stakeholders into clear analytical approaches, actionable solution designs, and working prototypes.

·       Stay current with advancements in Data Science, AI, MLOps, and cloud-native technologies, and apply these insights pragmatically to WCC’s product landscape.

Productize

·       Take ownership in turning ideas, prototypes, and research concepts into practical, scalable, and maintainable solutions.

·       Apply strong engineering skills to operationalize AI solutions, ensuring they are robust, scalable, and ready for production use.

·       Guide Software Engineers from a methodological, responsible AI, and product perspective when productizing prototypes.

Consult

·       Support delivery teams in modeling client data, structuring domain knowledge, and fine-tuning product components to maximize value.

·       Engage directly with clients in a consulting capacity, helping them understand their data, define their needs, and translate business questions into actionable analytical and technical solutions.

·       Ensure that all Data Science techniques and AI models are used appropriately, responsibly, and in alignment with relevant legislation, customer requirements, and product objectives.

Work conditions

·       Hybrid work setup when not traveling (60% in our Utrecht office, 40% from home).

·       Travel internationally as required (up to 20% of the time, depending on project needs).

What success looks like

·       Innovative new features or products powered by robust and scalable Data Science and AI engineering.

·       Every solution is delivered with:

·       A responsible use of data and AI;

·       A methodologically sound design;

·       An appropriate modeling approach;

·       Clear guidelines for applicability;

·       Engineering recommendations for productization and scale.

·       Smooth collaboration with engineering, product, and customer-facing teams, with a strong sense of ownership for outcomes.

·       Clients feel supported, informed, and confident in their data and AI initiatives thanks to clear guidance, strong communication, and well-founded consulting advice.

What you bring

Core requirements

·       Master’s degree in Data Science, AI, Information Management, Computer Science, or another quantitative field.

·       A pragmatic mindset paired with engineering discipline and a sense of ownership.

·       A blend of Data Science expertise and engineering ability. This means you are comfortable building models and deploying systems.

·       Strong programming skills (Python preferred) with experience in machine learning frameworks and engineering best practices.

·       Hands-on experience with containerized deployments (Docker), cloud services (any cloud platform).

·       Experience setting up or maintaining tooling such as experiment tracking (MLFlow), model registries, model serving, or CI/CD for AI systems.

·       Familiarity with data visualization and analysis tools.

·       Ability to bridge the gap from exploration to design and delivery, ensuring solutions are scalable, maintainable, and aligned with real customer needs.

·       Strong communication skills (written and verbal) in English, adaptable to different stakeholders and seniority levels.

Preferred qualifications

·       Fluency in Spanish, French, German, and/or Dutch.

·       Extensive exposure to real-world implementation of Data Science and AI, and the ethical considerations that come with this in high-impact domains.

·       Hands-on experience with the AWS cloud platform, at least with EC2, S3, IAM, ECR, Lambda.

·       Experience in or affinity with public employment, staffing, or HR tech.

·       Familiarity with delivery methodologies like Agile, PMP, IPMA, Prince2, or similar; certifications are a plus.

Compensation and benefits

·       Competitive salary;

·       Pension plan;

·       Coverage of transportation costs;

·       26 vacation days;

·       Opportunities for personal and professional development;

·       Home office budget;

·       Laptop and mobile phone;

·       Freedom to propose and implement innovative ideas;

·       Opportunity to develop an international and diverse professional network.