Data Science Machine Learning Internship (Summer 2027)

Responsibilities:

• Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
• Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
• Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
• Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
• Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
• Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in...