Opportunity brief
Key Responsibilities
- Data Preparation: Clean, transform, and explore large datasets using Python and SQL.
- Model Building: Assist in developing, training, and evaluating machine learning or deep learning models.
- AI & LLM Exploration: Experiment with prompt engineering, Retrieval-Augmented Generation (RAG), or lightweight AI agents.
- Data Visualization: Create clear charts or dashboards to share insights with team members.
- Documentation: Write clean code, document workflows, and present experimental findings.
Required Qualifications
- Education: Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related technical field.
- Technical Skills:
- Good command of Python and data libraries (Pandas, NumPy, Scikit-learn).
- Basic familiarity with SQL and database querying.
- Solid grasp of fundamental math, probability, and statistics.