About Thomas Thor

Thomas Thor provides recruitment, leadership search and workforce consulting services to the global nuclear Industry and organizations shaping a net zero future. Founded in 2009 on a belief in a clean energy future and in the power of human ingenuity to create a better world, the company vision is to enable the acceleration of net zero through the mobilization of knowledge and talent. Every day the company’s global network of consultants strive to build and sustain the global workforce of critical sectors, with a focus on the full breadth of the nuclear industry. To support this mission, Thomas Thor is offering an internship opportunity for a student to contribute to workforce modeling and strategic planning initiatives.

Therefore, Thomas Thor is currently seeking a Data Analyst Intern and this position is based at our office in Amsterdam.

Internship details

Location: Amsterdam (Hybrid)

Duration: 3-4 months

Start Date: 1st of December 2025

• Working hours: Full-time (40 hours/week) or part-time option is also available
• Work model: Hybrid – 2 days in our Amsterdam office, 3 days remote (for full-time)
• Pro-rata internship compensation

What You Do As a Data Analyst

Workforce Modeling Tool Specification

The requirement is to develop a workforce modeling tool to support strategic planning, resource allocation, and scenario analysis for Thomas Thor to use in conjunction with its clients. The tool should enable users to simulate workforce changes, forecast staffing needs, and evaluate cost implications under various scenarios.

The tool will need to be able to:

• Model current workforce structure and dynamics
• Simulate future workforce scenarios (e.g., growth, attrition, hiring)
• Analyze cost, productivity, and skill gaps
• Provide intuitive dashboards and exportable reports

Scope of Work to include:

a. Core Features

1. Data Input Module: Upload/import workforce data (CSV, Excel, API)

2. Modeling Engine:

2.2. Define roles, departments, and skill sets

2.3. Apply attrition, hiring, promotion, and retirement rules

2.4. Time-based simulation (monthly/quarterly/yearly)

3. Scenario Builder:

3.1. Create and compare multiple workforce scenarios

3.2. Adjust parameters (e.g., hiring rate, budget constraints)

4. Analytics & Reporting:

4.1. Visual dashboards (headcount, cost, skill distribution)

4.2. Exportable reports (PDF, Excel)

5. User Management:

5.1. Role-based access (Admin, Analyst, Viewer)

b. Technical Requirements

1. Platform: Web-based (responsive design)
2. Backend: Python or Node.js (open to alternatives)
3. Frontend: React or Angular
4. Database: PostgreSQL or equivalent
5. Hosting: Cloud-based (AWS, Azure, or similar)
6. Security: GDPR-compliant, secure authentication

c. Integration

1. Optional API integration with HR systems (e.g., SAP, Workday)
2. Optional Single Sign-On (SSO) support

Deliverables

• Functional prototype (Month 1)
• Beta version with core features (Month 2)
• Final version with full functionality and documentation (Month 3)
• User manual and training materials

Who We’re Looking For

• Currently enrolled at a Bachelor’s, or Master’s degree at an accredited Dutch university, preferably in Business, Economics, Data Science, Computer Science, or other technology- and information-related fields
• Has the above-mentioned technical requirements
• Passionate about making a difference in the fight against climate change
• Motivated, proactive, and eager to contribute and have an impact during the internship
• Strong command of English

What You’ll Gain

• Hands-On Data Analysis & Forecasting Experience - work with real workforce data to model trends, simulate scenarios, and forecast staffing needs
• Workforce Planning & Strategic Insight - understand how workforce modeling informs recruitment, resource allocation, and strategic decision-making
• Learn how staffing, attrition, and other factors affect organizational planning
• Collaborate with consultants and teams in a global, client-focused environment
• Gain insight into workforce management in the nuclear and clean energy sectors
• Understand challenges and best practices in workforce planning for critical industries

If you have any questions, contact Anna Bui || [email protected]