Student Data scientist & Tech operations

Student Data Scientist & Tech Operations – GPS Cattle Tracking

Location: Remote / Netherlands
Hours: 8–12 hours per week
Salary: €17 – €18/hour
(€15 – €16/hour base salary + 8.3% holiday allowance + 8% paid vacation days on request)
Company: Innovative GPS Startup in AgriTech

Are you a tech-savvy student with a strong analytical mindset and a passion for agriculture, data, and innovation? Join a fast-growing startup that’s reshaping livestock management using GPS tracking and smart data solutions. We’re looking for a proactive student to support both data science and technical operations — making real impact with real data.

About the Role

As a Student Data Scientist & Tech Operations Assistant, you'll work on the performance and application of GPS trackers used on cattle. Your responsibilities include:

• Performing data analysis in Python, SQL, and Excel to assess tracker performance
• Automating data pipelines and workflows using Python or n8n
• Developing and refining (ML) algorithms in PyTorch or TensorFlow to monitor cattle health
• Building clear, visual dashboards to present data insights to internal teams and customers
• Communicating analysis results directly with clients and proposing technical or process improvements

This is a highly flexible, part-time role that allows you to gain valuable experience in a rapidly evolving tech-driven sector.

Candidate Profile

We’re looking for a student who is:

• Enrolled in a Data Science, AI, Computer Science, or Technical Operations program
• Proficient in Python, SQL, and Excel
• Experienced or interested in tools like n8n, PyTorch, or TensorFlow
• Analytical, independent, and eager to solve real-world problems with code
• Able to clearly communicate technical insights to non-technical stakeholders
• Enthusiastic about working in a mission-driven startup environment

What We Offer

• An hourly salary of €17 – €18
  (€15 – €16/hour base salary + 8.3% holiday allowance + 8% paid vacation days on request)
• Flexible working hours (8–12 hours/week) to fit around your studies
• Real-world experience with live GPS data and health monitoring in livestock
• A hybrid role that combines data science, ML, automation, and tech ops
• The chance to be part of a high-impact startup focused on sustainable farming and animal welfare

Interested in this role? Click the ‘Apply Now’ button to submit your application!

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