Teams at TWG Global

Assist in developing and deploying AI/ML solutions, including agentic frameworks, RAG pipelines, LLM applications, personalization systems, and cloud-based ML platforms. Support model optimization, data workflows, ontology modeling, and Palantir Foundry/AIP implementations. Collaborate with research, engineering, product, and business teams to integrate generative AI into products, improve search and recommendations, and maintain secure, scalable reference architectures.

Supports quantitative research and data science projects involving financial, insurance, and alternative datasets. Responsibilities include data preparation, exploratory analysis, statistical and machine learning modeling, algorithm implementation in Python, forecasting, optimization, conversational AI, model validation, documentation, and presenting findings. The intern collaborates with senior researchers while applying responsible AI, transparency, safety, and regulatory standards.

Build and evaluate production AI systems across predictive modeling, forecasting, optimization, reinforcement learning, and LLM applications. Conduct exploratory data analysis, feature engineering, experimentation, and rigorous model evaluation. Collaborate with data scientists, ML engineers, business stakeholders, and operating teams to translate workflows into deployed solutions. Explore emerging AI tools, document work, report project performance, and support responsible AI governance.