Responsibilities:
- Collaborate with Data Scientists and Data Engineers throughout the data pipeline including data collection preprocessing and quality assessment to ensure high-quality datasets for model training.
- Contribute to the development of Data Analysis and Machine Learning models for tasks such as Predictive Analytics Computer Vision and Generative AI.
- Participate in ongoing data science/machine learning Proof-of-Concept (POC) projects including the development of interactive dashboards or web applications to present key insights and outcomes from AI/ML models.
Requirements:
- Currently pursuing a Degree in Computer Science AI or relevant field
- Able to commit to a full-time internship (Jan - May 2026)
Proficiency in Python and data & dashboard web develoment (e.g. Streamlit Dash Django)
Proficiency in Python and Jupyter Notebook for data processing and model development.
Knowledge in Artificial Intelligence Machine Learning and Large Language Models (LLM).
Ability to communicate effectively and present results and findings.
Prior experience with Power BI is preferred.
Hands-on experience with one or ML libraries (e.g. Scikit-learn XGBoost) is preferred.
Takeaways from the internship:
- Exposure to the end-to-end AI/ML development cycle from data preparation to model deployment.
- Hands-on experience with dashboard and web application development to visualize AI/ML results.
- Data exploration processing model development and evaluation.
- Agile software development practices using Azure DevOps for project collaboration and tracking.
- Experience in cross-functional collaboration and engaging with business stakeholders to align technical outcomes with user needs.
- Presentation and communication skills to share findings effectively with both technical and non-technical audiences.
- Time management and prioritization in a fast-paced collaborative environment.
*Please state your full-time availability for the internship at the top of your CV (start and end date). Only shortlisted candidates will be notified.
Required Experience:
Intern