Summer Internship - Machine Learning Developer

Department: Business Intelligence

Reporting to: Business Intelligence Team Lead

Location: Guernsey

Contract: Temporary Internship (4 weeks)

Date: March 2026

Kickstart your data career with an exciting summer internship! Are you a highly motivated and technically curious student eager to dive into the world of Artificial Intelligence and Machine Learning? Do you have a passion for leveraging data and writing code? If so, we have a fantastic opportunity for you to join our innovative team for the summer holiday period and make a tangible contribution to our Machine Learning practices. As our summer intern, you will be immersed in a dynamic environment within the Business Intelligence team where you will gain hands‑on experience in the exciting field of machine learning using cutting‑edge technologies. You will be developing and evaluating machine learning models within Python notebooks. Your journey will begin with the development and testing of a basic machine learning model, and you will then have the opportunity to progress to a more complex and experimental design! This internship offers a unique chance to apply your theoretical knowledge to practical challenges and gain invaluable industry experience.

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• Implement and test machine learning models within Python notebooks.
  
• Conduct thorough testing and evaluation of model performance, identifying areas for improvement.
  
• Progress from building a basic model to contributing to a larger, more complex experimental design.
  
• Collaborate with data scientists and data engineers, benefiting from learning from experienced professionals.
  
• Explore and manipulate data to feed into ML models.
  

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• Intermediate Python programming skills.
  
• Understanding of common machine learning techniques, particularly for classification and regression tasks.
  
• Basic knowledge of Python datatypes and the Pandas library for data manipulation.
  
• Excellent technical communication skills, both written and verbal, with the ability to articulate technical concepts clearly.
  
• Strong technical and mathematical aptitude (equivalent to A-Level standard or higher).
  

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• Practical experience with PySpark for distributed data processing and machine learning.
  
• Hands‑on experience working with Pandas DataFrames for data manipulation and analysis.
  
• Familiarity with database concepts and data manipulation techniques.
  
• Understanding and appreciation of data modelling principles.
  
• Experience writing and executing SQL queries.
  
• Exposure to neural networks and their application in machine learning.
  
• Knowledge of Business Intelligence processes and experience with Power BI or similar visualization tools.