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Data Science (Responsible AI) Internship

icon building Company : Skilllab
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Number of Applicants

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Job Description - Data Science (Responsible AI) Internship

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 Aaron who is SkillLab’s Data science Lead. Furthermore, you will cooperate with our data scientists Rihab, 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

  • Workflow Integration: Integrate responsible AI templates into existing model development pipelines, including potentially creating automated checks and validation steps. You'll also develop integration guides for the data science team.
  • Process Automation: Build automated model card generation from existing templates.
  • Documentation & Training: Update existing documentation with integration procedures, create training materials for the data science team, and develop troubleshooting guides for common integration issues.
  • Testing & Validation: Test integrated workflows with existing models and conduct pilot implementations with select models.

Your skills

  • Study background in Data Science, AI, Computer Science, or related field with focus on responsible AI.
  • Familiarity with Python, Git, SQL, and CI/CD pipelines.
  • Experience with model deployment and monitoring (ML/AI).
  • Experience with API development and system integration.
  • Strong interest in making responsible AI practices practical and scalable

Extra awesome

  • Previous experience with responsible AI frameworks or MLOps/AI governance frameworks.
  • Hands-on experience with model deployment.
  • Familiarity with workflow automation tools (e.g., GitHub Actions or similar).
  • 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 rolling basis and we envision a start date in September 2025.
  • 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 in different locations like the Netherlands, Belgium etc.

 Our selection procedure

  1. You apply for the role and we review your profile.
  2. We will invite you for a short screening call.
  3. 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.
  4. We will offer you the internship and discuss logistics, if we think that you are the ideal candidate for the role.
Original job Data Science (Responsible AI) Internship posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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