Data Science Intern

About the Role

As a Data Science Intern, you will apply machine learning and statistical techniques to extract insights from diverse financial datasets. You'll work on projects ranging from alternative data analysis to predictive modeling for investment research.

This role bridges the gap between traditional quantitative research and modern data science, offering a unique perspective on how ML is applied in finance.

Responsibilities

• Develop machine learning models for financial prediction and classification tasks
• Clean, process, and analyze alternative and traditional financial data
• Build data pipelines and feature engineering frameworks
• Conduct exploratory data analysis and generate actionable insights
• Document methodologies and present findings to stakeholders

Requirements

• Currently pursuing MS or PhD in Data Science, Computer Science, Statistics, or related field
• Strong programming skills in Python with ML libraries (scikit-learn, PyTorch, or TensorFlow)
• Experience with data manipulation using pandas and SQL
• Solid understanding of statistical methods and machine learning algorithms

Preferred Qualifications

• Experience with NLP, time series analysis, or computer vision
• Familiarity with financial markets and data
• Published research or notable Kaggle rankings