Data Science Intern

The Data Science Intern will work with the Global Markets Data & AI Lab on data science and machine-learning problems supporting financial markets. Work may involve client recommendations, market-comment generation, risk management, alternative-data analysis, quantitative investment strategies, and generative modelling. The intern will explore diverse datasets, perform statistical and predictive modelling, clean and transform data, test hypotheses, build data workflows, and ensure data integrity and security.

Required Skills

Technical

Python Git Statistics Machine Learning Neural-network model architectures Probability Theory Statistical Inference Linear Algebra Classification Prediction Clustering NumPy Pandas Scikit-learn PyTorch Keras TensorFlow LangChain Clear and concise Python coding

Additional technical skills specifically listed in the Skills Referential:

LangChain Unsloth Hugging Face PyTorch Scikit-learn

Behavioral

Good communication Critical thinking Collaboration/teamwork Attention to detail Rigor Intellectual curiosity Willingness to learn Preferred / Additional Skills Participation in Data Science communities such as Kaggle, Numerai, OpenML or similar Knowledge of current Machine Learning/AI literature Experience working with large and diverse datasets Ability to experiment, evaluate hypotheses and iterate on solutions