Looking For:
Data Science Intern
Graduate Program
Qualifications
- Bachelors degree in a quantitative field.
- Solid understanding of statistical analysis.
- Experience with Python (numpy, pandas, scikit-learn, etc.) and SQL
- Understanding of machine learning techniques and algorithms.
- Basic understanding of version control systems like Git.
- Experience with data visualization tools e.g. Looker, PowerBI
- Familiarity with machine learning tools and frameworks like Scikit-learn, Pytorch, TensorFlow.
- Knowledge and experience in Natural Language Processing
(NLP), Generative Al, and Large Language Models (LLMs) – including techniques such as Retrieval-Augmented Generation (RAG) and Prompt Engineering – is desirable. - Ability to communicate model outputs and analyses to stakeholders with varying levels of technical expertise.
Keen attention to detail and a methodical approach to data investigation. - Collaborative and thrives in a team environment.
Submit your CV and cover letter to:
