Welcome to SkillLab
At SkillLab, we envision a world where everyone has a pathway to employment. We enable and lead a radical change - a transition towards skill-based labor and education markets. Our AI-driven technology creates more inclusive and efficient markets by connecting people with jobs and education through the universal language of skills. SkillLab is working with employment and career services in 35+ countries and seeks to transform labor and education markets globally.
SkillLab’s innovative use of AI was recognised with awards like Google AI for Impact, UNESCO Top 10 uses of AI and the European Social Innovation Competition 2021, among other awards.
Your team
You will directly work with Rihab who is one of SkillLab's Senior Data Scientists. Aaron is SkillLab’s Data science Lead. Furthermore, you will cooperate with the other data science team members, Anna, Nadine, and Divabelle.
We are proud of the people we work with and excited to work in a company with a social mission. We hope you will be too!
Your responsibilities
- Manual data classification & curation: Classify and curate occupation and skill data, ensuring quality and preparing it for AI models.
- AI/ML pipeline development: Build processes for bulk data, adding quality scores and validation checks for automated classifications.
- Standards research & implementation: Research international taxonomy standards and best practices, analyze gaps between SkillLab taxonomies and industry standards, recommend improvements and standardization approaches, and assist in mapping between different classification systems.
- Taxonomy enrichment & mapping: Enrich existing taxonomies with additional metadata, create cross-references between occupation and skill categories, develop hierarchical relationships and skill clusters, and map emerging occupations and skills to existing frameworks.
Your skills
- Study background in Data Science, Computational Linguistics, Information Science, or a related field.
- Familiarity with Python, SQL, data analysis, and visualization (using tools like pandas, matplotlib, seaborn).
- Adept at statistical analysis, data exploration, pattern recognition, data cleaning, transformation, and quality assessment.
- Familiarity with taxonomies, ontologies, or classification systems and experience with data analysis, reporting, and visualization.
- Understanding of occupation classification systems (like ESCO, O*NET, ISCO), skills frameworks, competency models, labor market data, and employment terminology.
Extra awesome
- Hands-on experience with taxonomy management tools.
- Familiarity with machine learning classification processes and models.
- Experience in mapping and integrating diverse classification systems.
Requirements
- You are eligible to work in the Netherlands. We don’t support visa applications for applicants outside the EU.
- You are currently enrolled as a student or graduated within the last 12 months.
- You are able to commit to a six-month full-time (40 hour/week) internship.
Compensation, start-date & location
- This is a paid internship. The monthly reimbursement will be 1.000 EUR.
- You can do the internship by living in another city in the Netherlands and commuting to the office 1-2 days per week. SkillLab covers your train commuting expenses to Amsterdam.
- We accept applications on a rolling basis and we envision a start date in September 2025.
Benefits
- You will have a personal learning budget to invest in your professional development.
- You will have access to mentors & coaches (SkillLab is part of the Google for Startups SDG accelerator).
- You will have access to a monthly flexible budget of benefits via Alleo app. You can spend this budget on a large selection of providers, ranging from gym memberships to bike subscriptions and online stores.
- You will join our bi-annual company offsite retreats.
Our selection procedure
- You apply for the role and we review your profile.
- We will invite you for a short screening call.
- We will invite you for a 60min interview if we find that you are a good fit. The interview will involve you preparing a short assignment.
- We will offer you the internship and discuss logistics, if we think that you are the ideal candidate for the role.
What else to know?
- This job description is intended to provide a general overview of the internship position and may be subject to change based on the organization's requirements and priorities.
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